Northeast Dairy Cooperative, Inc. v. Barber
Opinion of the Court
OPINION OF THE COURT
In August, 1979, petitioner, a cooperative of dairy farmers, sold 9,664,478 pounds of milk to R & R Schofield (Schofield), a licensed New York milk dealer. Of this amount, 7,899,670 pounds (81.62%) were produced on New York farms and 1,764,808 pounds (18.38%) were produced
After a hearing, respondents determined that petitioner’s allocation of the proceeds was incorrect. Respondents concluded that a proper allocation required that the proceeds from the sale be applied against the debts from New York produced milk and Pennsylvania produced milk in proportion to the amount of milk produced in each State. Thus, 81.62% of the proceeds was applied against the debt from New York produced milk and $47,230.34, the remainder of the debt from New York produced milk, was certified by respondents.
Petitioner commenced this proceeding pursuant to CPLR article 78 to review respondents’ determination. Petitioner claimed that as the creditor, it was entitled to allocate the proceeds as it desired and, thus, it was not improper to allocate the proceeds to satisfy the debt from Pennsylvania produced milk before the debt from New York produced milk. Special Term, noting that allocation as urged by petitioner was not prohibited by case law, statute or regulation, agreed with petitioner’s position and annulled respondents’ determination. This appeal by respondents followed.
Although the general rule is that a creditor may apply a payment toward satisfaction of several debts in any man
The judgment should be reversed, on the law, without costs, the determination confirmed, and the petition dismissed.
Mahoney, P. J., Mikoll, Yesawich, Jr., and Harvey, JJ., concur.
Judgment reversed, on the law, without costs, determination confirmed and petition dismissed.
Petitioner acknowledged in its statement of claim that of the $606,798.68 due, $110,665.16 was for milk from Pennsylvania producers.
Case-law data current through December 31, 2025. Source: CourtListener bulk data.