The Florida Dairy Business
(Acrobat version)

Volume 3 Issue 3

March 1998

 

Milk Prices

The March Basic Formula Price (BFP) fell $.51. The fall was not unexpected because of weakness in the cheese markets for the past six weeks or so. The March BFP is still $.32 higher than March 1997. This is shown in the Basic Formula Price graph below.

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This price is used in calculating Class I and Class II prices for May. Because the co-op premiums will be constant for March through May, mailbox milk prices will largely track the BFP, lagged two months. The table at the bottom left shows the Class I prices and premiums for March through May. Expect a small increase in your April mailbox price and then about a $.50 drop for May.

 

 

BFP0398.JPG (16875 bytes)

Milk production figures for February from the USDA-NASS show Florida down 9% from a year ago. Remember that 1997 was an exceptional year because of favorable weather for milk production. This year we had excessive rain. Reported cow numbers are the same for February 1997 and 1998 at 160,000 (see graph below).

 

 

 

COWS0398.JPG (23405 bytes)

The Florida Milk to Feed Price Ratio has been climbing with the unexpectedly strong milk prices and falling commodity prices, especially soybean meal. The change in direction of milk prices should return this to the more seasonal pattern - decreasing in spring.

 

 

MTF0398.JPG (21996 bytes)

 

Class I Milk Prices and Net Premiums*

Mar 98

Apr 98

May 98

Location

Class I

Premium

Class I

Premium

Class I

Premium

Atlanta

17.33

1.00

17.40

1.00

16.89

1.00

Up. FL

18.25

1.42

18.32

1.42

17.81

1.42

Tampa

18.95

1.82

19.02

1.82

18.51

1.82

Miami

19.65

2.22

19.72

2.22

19.21

2.22

*Announced

 

 

How Hard Are Your Assets Working?

Is your business working its assets off to make the business successful?

An accepted measure of asset efficiency is the asset turnover ratio. The asset turnover ratio measures how many dollars in gross revenue are generated for every dollar of assets invested in the business. In essence, the ratio measures asset "output" efficiency similar to pounds milk per pound feed, except this ratio is financial.

For the 1996 Dairy Business Analysis Project, we separated participating dairies who provided complete financial information into groups based on the asset turnover ratio. Table 1 displays the results. The groups are defined as high turnover (>1.0), medium turnover (0.7-1.0), and low turnover (<0.7).

The first observation is the wide variation in asset efficiency as measured by the asset turnover ratio. There is a 0.63 point difference in the asset turnover ratio between the high and low turnover group. In other words, the high turnover group is generating $0.63 more revenue per dollar invested than the low group, a 102% difference! If the two groups were groups of cows, the low group would be producing 16,000 pounds of milk versus the high group producing 32,320 pounds.

The largest factors driving asset turnover is the size and composition of the asset base. Table 2 lists the assets per cow for the three asset turnover groups. Assets per cow includes the value of the cow. By subtracting the average value per cow ($1,046) we can see the remaining assets per cow for each group. This remainder is a simple measure of the composition of the asset base without the cow value. The high turnover group had $1,799 assets per cow remaining, the medium group had $2,781, and the low group had $4,104. This means the high turnover group had $982 less invested per cow than the medium turnover group and $2,304 less than the low turnover group. This difference affects profitability.

While high asset turnover rates do not guarantee high profitability, they certainly affect the rate at which profits can accrue. The high asset turnover group also controlled costs very well (operating profit margin of 0.13) and had the highest milk sales per cow (16,690 lbs.). All of these factors combined generated higher profitability for the high turnover group.

Each dairy is different and constraints do not always allow for dramatic changes in the capital structure of the business. An illustration of this may be high valued real estate which drives asset values high. What is clear, though, is that there are many capital efficient dairies in Florida . Moreover, each investment decision that is made (e.g. buy the tractor, build the barn, remodel the parlor) has implications on capital efficiency and the resulting profitability.

How does your dairy business compare to these groups? Contact your extension agent and join the Dairy Business Analysis Project to find out. It may be time to change the ration of assets you are feeding your business.

-Marvin Hoekema

 

 

Table 1. Capital efficiency, asset turnover ratio, and profitability.

Asset turnover ratio1

Category

<0.7

0.7-1.0

>1.0

Number of dairies

Number of cows

Number of heifers

Milk sold per cow (pounds)

Cull rate

Cows per worker

Assets per cow

Asset turnover ratio1

Rate of return on assets

Total receipts (per cwt. milk sold)

Total expenses (per cwt. milk sold)

Net farm income (per cwt. milk sold)

Operating profit margin

7

866

450

15,416

0.30

52

5,150

0.62

0.10

19.93

17.86

2.07

0.10

6

833

350

15,769

0.37

59

3,827

0.80

0.09

19.25

17.80

1.45

0.09

5

1,559

778

16,690

0.33

64

2,845

1.25

0.13

20.74

17.69

3.06

0.13

1Asset turnover ratio is calculated by dividing average total assets by gross revenues.

 

Table 2. Assets per cow by asset turnover ratio.

Asset Turnover Ratio

<0.7

0.7-1.0

>1.0

Assets per cow

- Cow value1

= Remaining assets per cow

5,150

(1,046)

4,104

3,827

(1,046)

2,781

2,845

(1,046)

1,799

1Value is average value per cow for 1996 DBAP dairies.

 

 

Florida Dairy Production Conference, May 5th

Don’t forget the 35th Annual Florida Dairy Production Conference on May 5th. Call Mika Robinson at 352-392-5594 for a program and registration information.

 

Factors Affecting
Personnel Costs

Many dairy managers tell us that their greatest challenge is providing a consistently productive labor force to their dairy at a reasonable cost. We looked to the Dairy Business Analysis Project (DBAP) for information about how dairies controlled labor costs. We sought answers to two questions. How much opportunity did managers have to affect/control labor costs? What factors affected labor costs?

A.  Opportunity for cost control?

Labor costs are a major expenditure. The average personnel costs of 32 DBAP dairy participants in 1996 was $2.46 per cwt. However, significant variation existed. Table 1 shows the range was from $1.10 to $3.73 per cwt. This was about 5% to over 21% of total revenues. Some dairies were much more labor efficient than others.

What factors were responsible for this variation?

Activity. More activities (dairy, cropping, replacements, etc.) require more labor.

Efficiency. We compared cows per full-time worker and milk sold per worker.

Substitution of machinery and equipment for labor or vice-versa.

Design of facilities for housing, feeding, milking and handling cows.

Supervision of personnel: recruiting, training, motivating, and rewarding.

Of these factors, DBAP provides insight into (1) activity and (2) efficiency.

Activity. The number of enterprises affected labor costs. As shown in Table 2 for 1996, dairy operations that only milked cows had salaries which averaged $1.84 per cwt. The average of dairies that raised replacements was slightly higher at $1.89 per cwt. The dairies that had both replacements and cropping enterprises had the highest cost at $2.27 per cwt. on average. Note that those are salaries only. Importantly, however, there was more variation within groups than between groups.

B.  Personnel Costs

Efficiency. Table 3 shows a tremendous difference in how efficiently dairies utilized personnel. Milk per worker, probably the best efficiency indicator, ranged from about 387,000 lbs. to more than 1.5 million lbs. The more labor efficient dairies sell four times more milk per worker than the least efficient.

Summary

The cost of providing labor to the dairy farm is a major expenditure and management challenge. DBAP data shows that there was a considerable variation between dairies, even after accounting for the number of enterprises. The most efficient dairies sold four times more milk per worker.

Thanks to DBAP participating dairies for sharing their data which makes this kind of information available to everyone. How does your dairy compare?

 

- Russ Giesy

 

Table 1. Variation in cost of providing labor of Florida DBAP participating dairies.

Minimum

Average

Maximum

Salaries per cwt.

$1.10

$2.10

$3.73

 

Table 2. Variation in salaries per cwt. by number of enterprises.

Dairy

enterprise only

Dairy + heifers

Dairy +

heifers + crops

Number of DBAP dairies

Average salaries per cwt.

Lowest salaries per cwt.

Highest salaries per cwt.

6

$1.84

$1.20

$2.27

9

$1.89

$1.10

$3.10

13

$2.27

$1.34

$3.73

 

Table 3. Labor efficiency factors on DBAP dairies.

Lowest

Average

Highest

Cows per worker (FTE)

Milk sold per worker (lbs.)

26

387,145

53

835,428

105

1,526,324

 

 

 

Mailbox Milk Prices

Location

Dec 96

Dec 97

Dif From Florida

Florida1

Southeast

Mid-Atlantic

New England2

Upper Midwest

Texas

NM - West Texas

18.39

15.13

14.30

14.12

12.85

13.85

12.00

17.21

14.81

14.38

14.08

14.68

14.59

13.54

0

-2.40

-2.83

-3.13

-2.53

-2.62

-3.67

1Three order weighted average

2Includes effect of NE Compact

 

 

 

Florida Dairy Extension

Andy Andreasen - Jackson Co. Wayne Odegaard - Hernando Co.
David Bray - Dairy & Poultry Sci. Travis Seawright - Manatee Co.
Michael DeLorenzo - Dairy & Poultry Sci. David Shannon - Calhoun Co.
Roger Elliott - Escambia Co. David Solger - Washington Co.
Shepard Eubanks - Holmes Co. Mary Sowerby - Multi-county
Russ Giesy - Multi-county Charles Staples - Dairy & Poultry Sci.
Mary Beth Hall - Dairy & Poultry Sci. Robert Tervola - Suwannee Co.
Larry Halsey - Jefferson Co. Paulette Tomlinson - Columbia Co.
Pat Hogue - Highlands Co. James Umphrey - Dairy & Poultry Sci.
Patrick Joyce - Duval Co. Jack Van Horn - Dairy & Poultry Sci.
Elzy Lord - Alachua Co. Chris Vann - Lafayette Co.
Pat Miller - Okeechobee Co. Marvin Weaver - Gilchrist Co.
Roger Natzke - Dairy & Poultry Sci. Dan Webb - Dairy & Poultry Sci.

The Florida Dairy Business newsletter is published on a monthly basis by the University of Florida, Dairy and Poultry Sciences Department as an educational and informational service. Please address any questions, comments or suggestions to Michael DeLorenzo, Editor, The Florida Dairy Business, P O Box 110920, Gainesville, FL 32611-0920. Ph: (352) 392-5594.