Excel Corp. v. United States Department of Agriculture

397 F.3d 1285, 2005 U.S. App. LEXIS 2543, 2005 WL 352661
CourtCourt of Appeals for the Tenth Circuit
DecidedFebruary 15, 2005
Docket04-9540
StatusPublished
Cited by11 cases

This text of 397 F.3d 1285 (Excel Corp. v. United States Department of Agriculture) is published on Counsel Stack Legal Research, covering Court of Appeals for the Tenth Circuit primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Excel Corp. v. United States Department of Agriculture, 397 F.3d 1285, 2005 U.S. App. LEXIS 2543, 2005 WL 352661 (10th Cir. 2005).

Opinion

BRISCOE, Circuit Judge.

Petitioner Excel Corporation seeks review of a decision and order issued by respondent United States Department of Agriculture (USDA) finding that Excel violated § 202(a) of the Packers and Stockyards Act (P & S Act), 7 U.S.C. § 192(a), and an implementing regulation, 9 C.F.R. § 201.99(a), by failing to disclose to hog producers a change in Excel’s formula for computing the “lean weight” of hog carcasses. Excel also challenges the decision and order to the extent it directs Excel to cease and desist from engaging in certain related practices. Exercising jurisdiction pursuant to 28 U.S.C. § 2342(2), we grant Excel’s petition for review for the sole purpose of modifying the cease and desist language of the decision and order. As so modified, the decision and order is enforced.

I.

Factual background

Excel, a corporation based in Wichita, Kansas, is estimated to be the fourth or fifth largest hog slaughterer in the United States. ROA, Yol. V, Doc. 155 at 13, 82. Excel purchases hogs from numerous hog producers using one of two methods. First, Excel purchases some hogs on a “spot” market basis, meaning that it negotiates a specific price for a specific lot of hogs. Id. at 13. Second, Excel purchases other hogs through short-and long-term contracts with hog producers, pursuant to which the producers agree to sell a given number of hogs to Excel for a set base price. Id.

Most of the hogs purchased by Excel fall within its “carcass merit” program. Id. Under the carcass merit program, hog-producers deliver hogs to Excel’s buying stations where the hogs are placed into a holding pen, tattooed for identification, given a lot number, weighed, and inspected. Id. at 13-14. The hogs are then transported to one of Excel’s three slaughtering facilities (located in Illinois, Iowa, and Mis *1288 souri). There, the hogs are “killed, bled, eviscerated, de-haired, washed, and inspected .... ” Id. at 14. Afterwards, the carcasses are evaluated for their “estimated percentage of lean (red) meat.” Id. Because hogs with a high percent of lean meat have a higher market value than hogs with a low percent of lean meat, Excel “applies th[ese] percentage figure[s] to a pricing table called the ‘lean percent matrix’ to determine whether the hog producer receives a discount for the carcass— a deduction from the base price — or a premium — an addition to the base price.” Id.

Some of the producers who supply hogs to Excel also sell to other packers. Id. at 20. Generally speaking, these producers sell “trial lots” to various packers, including Excel, to determine where they can obtain the best price. Id. Because USDA no longer has in place an official grading system for hogs, id. at 16, “[a]ll packers appear to base the prices they pay for hogs on base price, lean percent, and a matrix....” Id. at 20. However, no industry standard exists for estimating lean percent and it is generally impractical for slaughterers to dissect and examine each carcass for fat and lean meat percentages. Id. at 14. Thus, slaughterers use a variety of less accurate, but more practical, methods of estimating lean percent. Id. The result is that each packer “has a slightly different grading program,” i.e., “[t]hey use slightly different means of getting to the same point for the end value.” Id. at 20.

Excel had used the “Fat-O-Meat’er” method for estimating lean percent for approximately ten years. Id. at 14. “The FaUO-Meat’er,” which was developed in Denmark from a study of European hogs, “is a hand-held device with a probe that is inserted in the carcass.” Id. “A light measures the difference between the loin-eye and back fat depth.” Id. “A regression formula or equation embedded in the Fat-O-Meat’er, commonly referred to as the ‘Danish formula’.., then uses this measurement to estimate the lean percent of the carcass.” Id. at 14-15. The device has been approved for use by the USDA and is used by approximately thirty-two packers in the United States. Id. at 15. It is unclear, however, how many of these packers rely solely on the Danish formula to estimate lean percent. Id.

After Excel determined the lean percent and weight of each carcass, those figures were applied to Excel’s “Lean Value Matrix” to determine the “meat PX factor.” Aplee. Br. at 12. The matrix generated a higher “meat PX factor” for standard-sized carcasses (163 to 206 pounds) with a higher lean percent. Conversely, the matrix produced a lower “meat PX factor” for non-standard-sized carcasses (greater than 206 pounds or less than 163 pounds) and for carcasses with a lower lean percent. Id. To determine the exact price to be paid for a particular carcass, Excel multiplied the “meat base” (i.e., the price per hundred weight quoted to the producer) by the “meat PX factor.” Id.

The producers from whom Excel purchased hogs on a carcass merit basis were aware that Excel used the Fat-O-Meat’er to estimate lean percent and that the lean percentage figure was used by Excel to determine the price paid for each carcass. Generally speaking, however, Excel did not inform producers of the details of the formula utilized for estimating lean percent.

In 1997, Excel decided to switch from the Danish formula for estimating lean percent to “a formula developed by Purdue University and promoted by the National Pork Producers Council,” i.e. “the Purdue formula.” Id. at 17. “The Purdue formula uses hot carcass weight as a variable with the Danish formula to estimate lean per *1289 cent....” Id. In contrast to the Danish formula, which was estimated to be 72-73 percent accurate, the Purdue formula was estimated to be approximately 90 percent accurate. Id.

At the time it adopted the Purdue formula, Excel knew that the “change could affect the price it paid for hogs,” and thus “considered the” change’s “economic effect on hog producers....” Id. Excel “concluded, based on a study of 1.5 million hogs, that there would be only a ‘minimal impact’ on hog producers....” Id. at 17-18. In turn, Excel “decided not to tell hog producers about the change in the formula because, while it was not a secret, company officials believed that the formula, like the process methods and technology it used, was not a factor that interested hog producers or formed a basis for whether they sold hogs to” Excel. Id. at 18. “Another consideration was the corporate belief that hog producers who received more because of a change to a more accurate formula would be unhappy because they had been selling in the past under an inaccurate formula, while hog producers who received less because of the change would be upset....” Id.

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Bluebook (online)
397 F.3d 1285, 2005 U.S. App. LEXIS 2543, 2005 WL 352661, Counsel Stack Legal Research, https://law.counselstack.com/opinion/excel-corp-v-united-states-department-of-agriculture-ca10-2005.