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A Presentation on Food Hub
Viability
Presented By:
James Matson
Owner- Matson Consulting
Micaela Fischer
Graduate Affiliate, Center for Regional
Food Systems,
Michigan State University
In Collaboration With
Additional Food Hub
Resources
Matson, James; Sullins, Martha;
Cook, Chris. (January 2013). The Role
of Food Hubs in Local Food
Marketing. The United States
Department of Agriculture Rural
Development.
Fischer, Micaela; Hamm, Michael; Pirog,
Rich; Fisk, John; Farbman, Jeff; Kiraly,
Stacia. (September 2013). Findings of
the 2013 National Food Hub
Survey.
Coming Soon:
Matson, James. (March 2014). U.S.
Food Hub Operations Guide. The
United States Department of Agriculture
Rural Development.
Food Hub Viability Introduction
 Workshop will combine three different data sources:
 Findings of the 2013 National Food Hub Survey
 Pathways To Food Hub Success: Financial
Benchmark Metrics And Measurements For Regional
Food Hubs
 Matson Consulting Prototypical Food Hub
 Each source will have slightly different results.
 Workshop intends to create a clearer discussion on
typical food hub viability.
Presenting ongoing research. Some data presented here
is preliminary. Final results will differ.
Discussants
 Kathy Nyquist—New Venture Advisors
 Erin Pirro—Farm Credit East
 Darrow Vanderburgh-Wertz—
Wholesome Wave Investments
 Provide comments, critique, and context.
Food Hub Viability
 Information from the 2013 National Food Hub
Survey
 Micaela Fischer
MSU Center for Regional Food Systems
Food Hubs Emerging and
Growing
 Over 220 listed on the Food Hub Collaboration website.
 62% are 5 years or younger!
 32% are 2 years or younger!
 More hubs in East/West
coast states than in
middle America.
Finances
Sales Revenue
Financial Success
 Most either ―somewhat‖ or ―not at all‖ dependent of
grant funding.
 Most have revenues that exceed, or are close in value
to their expenses.
Business Efficiency Ratio=
Expenses/Revenue
Financial Viability
 Unpublished financial findings and
updates with the publication forthcoming.
 Unpublished study using data from the
2013 National Food Hub Survey.
 Divided food hubs into two groups based
on efficiency ratio.
 Compared operating characteristics between
two groups (logistical regression).
Financial Viability - Scale
 Financially viable hubs had median 2012 revenues of
$600,000 and sales of $450,000.
 Hubs that were not financially viable had median
revenues and sales of much less—$200,000 and
$137,000 respectively.
 Every $100,000 increase in revenue represents a
38% increased odds of being financially viable.
 All food hubs classified as not financially viable had
2012 revenues under $500,000.
Financial Viability & Employees
Financially Viable
 Median number of paid
employees = 4
 Median salary per paid
employee = $15,370
Not Financially Viable
 Median number of paid
employees = 3
 Median salary per paid
employee of $14,560
Median % of revenue spent on employee salaries and
benefits is 71% more for food hubs that are not financially
viable than for food hubs that are (25.33% vs.14.79%).
Financial Viability & Expense
Structure
 Food hubs that were not financially viable tended
to spend nearly twice the proportion of revenue on
overhead costs than did financially viable hubs.
 Most financially viable food hubs are emulating
more traditional food distribution businesses in
their expenditure patterns
 Closer to 15% of revenue on employee salaries and
benefits and
 Closer to 70% on food and product purchases
(COGS, or Return to Farmer).
Financial Viability & Expense
Structure
Median Expenses as a Percent of Revenue
All Food
Hubs
(N = 107)
Financiall
y Viable
(N = 63)
Not
Financiall
y Viable
(N = 15)
Food/product purchases 67% 68% 63%
Payments for warehouse or facility space 3% 2% 4%
Payments for trucks and equipment 2% 2% 5%
Gasoline and tolls 2% 2% 2%
Utilities 1% 1% 3%
Credit card and bank service charges 2% 2% 3%
Employee salary and benefits 18% 15% 25%
Consulting services 1% 1% 2%
The Benchmark Study: Pathways
To Food Hub Success
 Collection of historical financial results and
operational information from similar food
hub businesses
 Comparison to peer group
 Analysis of information to identify a range
of performance
Presented by the Wallace Center and Winrock
International
The Scope of Operations
 Average Age of Food Hubs: 11
Years
 Average Revenue: $1.65
million
 Annual Operations: 301
Days
 Facilities:
 Square Footage 9,018
 Number of Loading Docks 2
 Delivery Fleet (annual miles driven)
54,001
The Product
 Sourcing Distance (miles)
521
 Strictly Organic 20%
 Grow Some of Own Produce 27%
 Buy From Own Incubator Farmers
33%
Sources of Revenue
83.78%
Grants/Contribu
tions, 8.99% Other
Enterprises, 6.3
5%
Delivery and
Miscellaneous
, 0.88%
Product
Sales, 83.78%
Profit & Loss
 Revenue
100%
Cost of Goods
(67.63%)
Cost of Sales
(11.04%)
 Gross Margin 21.33%
Overhead Costs
(24.29%)
Operational Efficiency
 Markup Multiple 1.24
 Gross Margin 21.3%
 Labor Costs as a Percent of Sales
17.4%
 Labor Costs per Paid FTE
$48,867
 Sales per Worker Equivalent $286,788
Case Study Introduction
 Presenting data from current client work and
experience.
 Preliminary draft of a generic food hub.
 Verified this data with findings from the
Benchmark Study and the Food Hub Viability
Survey.
 Model begins with a level of break-even sales
and grows to a point of long term viability.
Case Study Generalities
 Food hub is in a
suburban locale.
 Food Hub is assumed
to have access to a
variety of producers
and members.
 Located within 50
miles of customer
locations.
 10,000 square feet in
size (adequate space
for
storage, handling, and
cooler space).
Case Study General Operations
 Operations in all months of the year
 Product lines have seasonality.
 Product will arrive and be handled by general
labor employees. Product will then be placed
in the appropriate storage area or readied for
delivery.
 Deliveries/Pickup (six day operating)
 Staffing Roles
 General labor staff loads delivery vehicle.
 Supervisory staff oversees.
 Delivery driver arrives and makes route.
Case Study Product Lines
 Product examples may
include:
 Fresh Produce:
 Corn
 Peppers
 Cucumbers
 Watermelon
 Cantaloupe
 Other:
 Honey
 Jams
 Dry Pasta
 Dairy:
 Liquid Milk
 Cheese
Other
Fresh
Produce
Dairy
Products
 Butternut
Squash
 Tomatoes
 Berries
 Asparagus
 Meat
 Eggs
 Yogurt
 Butter
Case Study Finances
 Three year window of financial operations.
beginning with when the food hub is
approaching operational break-even.
 Looking at operating at normal staffing and
paid staff.
 Food hub has $225,000 loans on books and
uses a working capital loan up to $90,000 to
cash flow shortages.
This case study begins after the start up period has
been completed. It may have taken several years to get
to this point.
Case Study Annual Sales
Projections
Operational
Break-Even
Financial
Viability
Growth
-
500,000
1,000,000
1,500,000
2,000,000
2,500,000
Case Study % Product Sold by
Month
— Year Product
Average
— Seasonality
Averages
0.00%
2.00%
4.00%
6.00%
8.00%
10.00%
12.00%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Case Study Seasonality by
Product
0.00%
2.00%
4.00%
6.00%
8.00%
10.00%
12.00%
14.00%
16.00%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Fresh
Produce
Dairy
Products
Case Study Variable Costs
Variable Costs
Break-
Even
Financial
Viability
Product Lost in Transport/Handling &
Returns (3.2%) (3.3%)
Revenue to Farms (0.7) (69.8%) (69.7%)
Credit Card Processing (0.2%) (0.2%)
Packaging Material Expense (0.2%) (0.2%)
Variable Labor & Delivery Expense (5.1%) (4.5%)
Total Variable Costs (78.5%) (77.9%)
Case Study Overhead Costs
Overhead Costs Break-Even
Financial
Viability
Payments for warehouse or facility
space (3.6%) (1.5%)
Payments for trucks and equipment
(2.5%) (1.7%)
Total Selling and Marketing Costs
(0.4%) (0.3%)
General and Administrative
Expenses (11.1%) (9.3%)
Unforeseen and Contingency
Expenses (4.0%) (4.0%)
Overhead Costs 21.5% 17.1%
Case Study Expenses Break-
Even
Variable Costs
Equipment Costs
Facility Costs
Marketing Costs
Gen/Admin Costs
Unforseen Costs
Depreciation
Case Study Wholesale Profit and
Loss
Break-Even Financial Viability
Revenues (Sales) 100% 100%
Total Variable Operating Costs (78.5%) (77.9%)
Variable Margin (Loss) 21.5% 22.1%
Total Equipment Costs (2.5%) (1.7%)
Total Facilities Costs (3.6%) (1.5%)
Total Selling and Marketing Costs (0.4%) (0.3%)
General and Administrative Expenses (11.1%) (9.3%)
Unforeseen and Contingency Expenses (4.0%) (4.0%)
Wholesale EBITDA (Loss) 0.0% 5.4%
Interest Expense (0.5%) (0.5%)
Depreciation Expense (0.7%) (0.8%)
Net Income (Loss) (1.3%) 4.1%
Case Study Cash and Income by
Month
-20000
-15000
-10000
-5000
0
5000
10000
15000
20000
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Increase or
Decrease In
Cash
EBITDA
Case Study Labor
 5 FTE’s
 Labor Roles:
 Management
 General Manager
 Production Manager
 Sales Manager
 General
 Delivery Driver
 Line Supervisor
 General Labor
 Office/Administrative Labor Costs
Management
General
Office/
Administrativ
e
Case Study Management
Salary
0
20000
40000
60000
80000
100000
120000
140000
160000
Salaried
Labor
Financial
Viability
GrowthOperational
Break-Even
Scenario: Break-Even with Added
Funding
$1,210,000
$1,094,374
$1,026,154
$739,713
$493,401
$-
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
Baseline Added
$25,000
Added
$50,000
Added
$100,000
Added
$150,000
SalesLevel
Scenario: Break-Even with Added
Costs
$1,210,000
$1,327,304
$1,441,389
$1,677,724
$1,791,809
$-
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
$1,600,000
$1,800,000
$2,000,000
Baseline Expense of
$20,000
Expense of
$40,000
Expense of
$80,000
Expense of
$100,000
SalesLevel
Example – Increase in Hourly
Labor
Hourly Wage
Baseline 20% Increase
Driver $13.00 $15.60
General Labor $10.00 $12.00
Line Supervisor $15.00 $18.00
Office/Administrative $16.00 $19.20
If the food hub experienced increases in hourly wages,
the food hub would need an nearly $12,000 in direct
funding from outside sources or approximately $70,000
of sales to maintain a break-even level of operations.
Break-Even vs. Return to Farmers
(% of Sales)
$935,009
$1,210,000
$1,717,396
$2,901,422
$-
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
65% ReturnBaseline: 70% Return75% Return 80% Return
SalesLevel
(23%)
Decrease
from
42%
Increase
from
140%
Increase from
Retail vs. Wholesale
Differences
 Smaller operation with higher gross margins
 Reaches operational break even and long term
viability at lower gross sales
 Direct sales to end consumers
 More added cost of direct sales
 Set up and operate retail storefront
 Different labor requirements
 Retail labor should have an expanded skill set to
deal with clients.
Preliminary Retail Model
 Key Changes to Retail Model:
 60% return to farmers
 No GAP certification
 Addition of shelf stable items purchased from outside
producers
 Required man hours equivalent to 10 full time employees
 No product delivery expense
 Lease of a smaller combined warehouse and retail space
We created a preliminary retail model to show potential
differences between a wholesale and retail food hub and
these differences affect the sales level required to breakeven.
Preliminary Retail Model
Results
In order to reach an operational breakeven with a retail model the food
hub must achieve a sales level of$660,000. The gross margin of the
business would also increase from 21% in the wholesale model to
28%.
$660,000
$1,210,000
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
Retail Wholesale
SalesLevel
Sales Required to Breakeven
(83%)
Decrease
from
Baseline
Conclusion
 Wholesale food hubs can achieve financial viability as a
medium scale business.
 $1.2 M to reach an operational break – even
 $2 M to reach longer term viability
 Grants or other contributions can significantly lower these
thresholds
 Higher costs can increase break – even levels so great
care needs to be paid to sales levels vs. costs.
 Returns to farmers
 Labor costs
 Balancing cash flow throughout the year requires significant
planning.
Want to Know More?
Contact Matson Consulting: Contact Micaela:
Micaela Fischer
Graduate Affiliate
Center for Regional Food
Systems
Michigan State University
fisch208@msu.edu
James Matson
Matson Consulting
www.matsonconsult.com
(803) 233-7134
jmatson@matsonconsult.c
om

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Food Hub Viability

  • 1.
  • 2. A Presentation on Food Hub Viability Presented By: James Matson Owner- Matson Consulting Micaela Fischer Graduate Affiliate, Center for Regional Food Systems, Michigan State University In Collaboration With
  • 3. Additional Food Hub Resources Matson, James; Sullins, Martha; Cook, Chris. (January 2013). The Role of Food Hubs in Local Food Marketing. The United States Department of Agriculture Rural Development. Fischer, Micaela; Hamm, Michael; Pirog, Rich; Fisk, John; Farbman, Jeff; Kiraly, Stacia. (September 2013). Findings of the 2013 National Food Hub Survey. Coming Soon: Matson, James. (March 2014). U.S. Food Hub Operations Guide. The United States Department of Agriculture Rural Development.
  • 4. Food Hub Viability Introduction  Workshop will combine three different data sources:  Findings of the 2013 National Food Hub Survey  Pathways To Food Hub Success: Financial Benchmark Metrics And Measurements For Regional Food Hubs  Matson Consulting Prototypical Food Hub  Each source will have slightly different results.  Workshop intends to create a clearer discussion on typical food hub viability. Presenting ongoing research. Some data presented here is preliminary. Final results will differ.
  • 5. Discussants  Kathy Nyquist—New Venture Advisors  Erin Pirro—Farm Credit East  Darrow Vanderburgh-Wertz— Wholesome Wave Investments  Provide comments, critique, and context.
  • 6. Food Hub Viability  Information from the 2013 National Food Hub Survey  Micaela Fischer MSU Center for Regional Food Systems
  • 7. Food Hubs Emerging and Growing  Over 220 listed on the Food Hub Collaboration website.  62% are 5 years or younger!  32% are 2 years or younger!  More hubs in East/West coast states than in middle America.
  • 9. Financial Success  Most either ―somewhat‖ or ―not at all‖ dependent of grant funding.  Most have revenues that exceed, or are close in value to their expenses. Business Efficiency Ratio= Expenses/Revenue
  • 10. Financial Viability  Unpublished financial findings and updates with the publication forthcoming.  Unpublished study using data from the 2013 National Food Hub Survey.  Divided food hubs into two groups based on efficiency ratio.  Compared operating characteristics between two groups (logistical regression).
  • 11. Financial Viability - Scale  Financially viable hubs had median 2012 revenues of $600,000 and sales of $450,000.  Hubs that were not financially viable had median revenues and sales of much less—$200,000 and $137,000 respectively.  Every $100,000 increase in revenue represents a 38% increased odds of being financially viable.  All food hubs classified as not financially viable had 2012 revenues under $500,000.
  • 12. Financial Viability & Employees Financially Viable  Median number of paid employees = 4  Median salary per paid employee = $15,370 Not Financially Viable  Median number of paid employees = 3  Median salary per paid employee of $14,560 Median % of revenue spent on employee salaries and benefits is 71% more for food hubs that are not financially viable than for food hubs that are (25.33% vs.14.79%).
  • 13. Financial Viability & Expense Structure  Food hubs that were not financially viable tended to spend nearly twice the proportion of revenue on overhead costs than did financially viable hubs.  Most financially viable food hubs are emulating more traditional food distribution businesses in their expenditure patterns  Closer to 15% of revenue on employee salaries and benefits and  Closer to 70% on food and product purchases (COGS, or Return to Farmer).
  • 14. Financial Viability & Expense Structure Median Expenses as a Percent of Revenue All Food Hubs (N = 107) Financiall y Viable (N = 63) Not Financiall y Viable (N = 15) Food/product purchases 67% 68% 63% Payments for warehouse or facility space 3% 2% 4% Payments for trucks and equipment 2% 2% 5% Gasoline and tolls 2% 2% 2% Utilities 1% 1% 3% Credit card and bank service charges 2% 2% 3% Employee salary and benefits 18% 15% 25% Consulting services 1% 1% 2%
  • 15. The Benchmark Study: Pathways To Food Hub Success  Collection of historical financial results and operational information from similar food hub businesses  Comparison to peer group  Analysis of information to identify a range of performance Presented by the Wallace Center and Winrock International
  • 16. The Scope of Operations  Average Age of Food Hubs: 11 Years  Average Revenue: $1.65 million  Annual Operations: 301 Days  Facilities:  Square Footage 9,018  Number of Loading Docks 2  Delivery Fleet (annual miles driven) 54,001
  • 17. The Product  Sourcing Distance (miles) 521  Strictly Organic 20%  Grow Some of Own Produce 27%  Buy From Own Incubator Farmers 33%
  • 18. Sources of Revenue 83.78% Grants/Contribu tions, 8.99% Other Enterprises, 6.3 5% Delivery and Miscellaneous , 0.88% Product Sales, 83.78%
  • 19. Profit & Loss  Revenue 100% Cost of Goods (67.63%) Cost of Sales (11.04%)  Gross Margin 21.33% Overhead Costs (24.29%)
  • 20. Operational Efficiency  Markup Multiple 1.24  Gross Margin 21.3%  Labor Costs as a Percent of Sales 17.4%  Labor Costs per Paid FTE $48,867  Sales per Worker Equivalent $286,788
  • 21. Case Study Introduction  Presenting data from current client work and experience.  Preliminary draft of a generic food hub.  Verified this data with findings from the Benchmark Study and the Food Hub Viability Survey.  Model begins with a level of break-even sales and grows to a point of long term viability.
  • 22. Case Study Generalities  Food hub is in a suburban locale.  Food Hub is assumed to have access to a variety of producers and members.  Located within 50 miles of customer locations.  10,000 square feet in size (adequate space for storage, handling, and cooler space).
  • 23. Case Study General Operations  Operations in all months of the year  Product lines have seasonality.  Product will arrive and be handled by general labor employees. Product will then be placed in the appropriate storage area or readied for delivery.  Deliveries/Pickup (six day operating)  Staffing Roles  General labor staff loads delivery vehicle.  Supervisory staff oversees.  Delivery driver arrives and makes route.
  • 24. Case Study Product Lines  Product examples may include:  Fresh Produce:  Corn  Peppers  Cucumbers  Watermelon  Cantaloupe  Other:  Honey  Jams  Dry Pasta  Dairy:  Liquid Milk  Cheese Other Fresh Produce Dairy Products  Butternut Squash  Tomatoes  Berries  Asparagus  Meat  Eggs  Yogurt  Butter
  • 25. Case Study Finances  Three year window of financial operations. beginning with when the food hub is approaching operational break-even.  Looking at operating at normal staffing and paid staff.  Food hub has $225,000 loans on books and uses a working capital loan up to $90,000 to cash flow shortages. This case study begins after the start up period has been completed. It may have taken several years to get to this point.
  • 26. Case Study Annual Sales Projections Operational Break-Even Financial Viability Growth - 500,000 1,000,000 1,500,000 2,000,000 2,500,000
  • 27. Case Study % Product Sold by Month — Year Product Average — Seasonality Averages 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 28. Case Study Seasonality by Product 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Fresh Produce Dairy Products
  • 29. Case Study Variable Costs Variable Costs Break- Even Financial Viability Product Lost in Transport/Handling & Returns (3.2%) (3.3%) Revenue to Farms (0.7) (69.8%) (69.7%) Credit Card Processing (0.2%) (0.2%) Packaging Material Expense (0.2%) (0.2%) Variable Labor & Delivery Expense (5.1%) (4.5%) Total Variable Costs (78.5%) (77.9%)
  • 30. Case Study Overhead Costs Overhead Costs Break-Even Financial Viability Payments for warehouse or facility space (3.6%) (1.5%) Payments for trucks and equipment (2.5%) (1.7%) Total Selling and Marketing Costs (0.4%) (0.3%) General and Administrative Expenses (11.1%) (9.3%) Unforeseen and Contingency Expenses (4.0%) (4.0%) Overhead Costs 21.5% 17.1%
  • 31. Case Study Expenses Break- Even Variable Costs Equipment Costs Facility Costs Marketing Costs Gen/Admin Costs Unforseen Costs Depreciation
  • 32. Case Study Wholesale Profit and Loss Break-Even Financial Viability Revenues (Sales) 100% 100% Total Variable Operating Costs (78.5%) (77.9%) Variable Margin (Loss) 21.5% 22.1% Total Equipment Costs (2.5%) (1.7%) Total Facilities Costs (3.6%) (1.5%) Total Selling and Marketing Costs (0.4%) (0.3%) General and Administrative Expenses (11.1%) (9.3%) Unforeseen and Contingency Expenses (4.0%) (4.0%) Wholesale EBITDA (Loss) 0.0% 5.4% Interest Expense (0.5%) (0.5%) Depreciation Expense (0.7%) (0.8%) Net Income (Loss) (1.3%) 4.1%
  • 33. Case Study Cash and Income by Month -20000 -15000 -10000 -5000 0 5000 10000 15000 20000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Increase or Decrease In Cash EBITDA
  • 34. Case Study Labor  5 FTE’s  Labor Roles:  Management  General Manager  Production Manager  Sales Manager  General  Delivery Driver  Line Supervisor  General Labor  Office/Administrative Labor Costs Management General Office/ Administrativ e
  • 36. Scenario: Break-Even with Added Funding $1,210,000 $1,094,374 $1,026,154 $739,713 $493,401 $- $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000 $1,400,000 Baseline Added $25,000 Added $50,000 Added $100,000 Added $150,000 SalesLevel
  • 37. Scenario: Break-Even with Added Costs $1,210,000 $1,327,304 $1,441,389 $1,677,724 $1,791,809 $- $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000 $1,400,000 $1,600,000 $1,800,000 $2,000,000 Baseline Expense of $20,000 Expense of $40,000 Expense of $80,000 Expense of $100,000 SalesLevel
  • 38. Example – Increase in Hourly Labor Hourly Wage Baseline 20% Increase Driver $13.00 $15.60 General Labor $10.00 $12.00 Line Supervisor $15.00 $18.00 Office/Administrative $16.00 $19.20 If the food hub experienced increases in hourly wages, the food hub would need an nearly $12,000 in direct funding from outside sources or approximately $70,000 of sales to maintain a break-even level of operations.
  • 39. Break-Even vs. Return to Farmers (% of Sales) $935,009 $1,210,000 $1,717,396 $2,901,422 $- $500,000 $1,000,000 $1,500,000 $2,000,000 $2,500,000 $3,000,000 $3,500,000 65% ReturnBaseline: 70% Return75% Return 80% Return SalesLevel (23%) Decrease from 42% Increase from 140% Increase from
  • 40. Retail vs. Wholesale Differences  Smaller operation with higher gross margins  Reaches operational break even and long term viability at lower gross sales  Direct sales to end consumers  More added cost of direct sales  Set up and operate retail storefront  Different labor requirements  Retail labor should have an expanded skill set to deal with clients.
  • 41. Preliminary Retail Model  Key Changes to Retail Model:  60% return to farmers  No GAP certification  Addition of shelf stable items purchased from outside producers  Required man hours equivalent to 10 full time employees  No product delivery expense  Lease of a smaller combined warehouse and retail space We created a preliminary retail model to show potential differences between a wholesale and retail food hub and these differences affect the sales level required to breakeven.
  • 42. Preliminary Retail Model Results In order to reach an operational breakeven with a retail model the food hub must achieve a sales level of$660,000. The gross margin of the business would also increase from 21% in the wholesale model to 28%. $660,000 $1,210,000 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 Retail Wholesale SalesLevel Sales Required to Breakeven (83%) Decrease from Baseline
  • 43. Conclusion  Wholesale food hubs can achieve financial viability as a medium scale business.  $1.2 M to reach an operational break – even  $2 M to reach longer term viability  Grants or other contributions can significantly lower these thresholds  Higher costs can increase break – even levels so great care needs to be paid to sales levels vs. costs.  Returns to farmers  Labor costs  Balancing cash flow throughout the year requires significant planning.
  • 44. Want to Know More? Contact Matson Consulting: Contact Micaela: Micaela Fischer Graduate Affiliate Center for Regional Food Systems Michigan State University fisch208@msu.edu James Matson Matson Consulting www.matsonconsult.com (803) 233-7134 jmatson@matsonconsult.c om

Notas del editor

  1. Note that reliance on grants was not significantly different between hubs that were viable and those that weren’t.
  2. Note that the difference in number of employees or salary per paid employee was not significantly different, but what was the amount that salaries and benefits took of the hub’s revenue. Note that the 15% mark is close to the percentage Matson is using in his model.
  3. Note that COGS
  4. The really important numbers to look at here are in the burgundy, the COGS cost, trucks, gas and salaries. Equally important is how little difference there was in the amount viable and non viable hubs were spending on warehouses and utilities.
  5. The really important numbers to look at here are in the burgundy, the COGS cost, trucks, gas and salaries. Equally important is how little difference there was in the amount viable and non viable hubs were spending on warehouses and utilities.