Freshpet (FRPT) Cost of Revenue (2013 - 2026)
Freshpet (FRPT) reported Cost of Revenue of $176.89 million for Q2 2026, up 13.0% from $156.5 million a year earlier and unchanged from the prior quarter.
Freshpet (FRPT) Cost of Revenue (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Freshpet's Cost of Revenue came in at $690.29 million, up 11.7% year-over-year; for FY2025, it was $652.39 million, up 12.6% from FY2024.
- Cost of Revenue has increased for 13 consecutive years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $579.22 million in FY2024 (+12.2%), $516.02 million in FY2023 (+26.1%), $409.31 million in FY2022 (+55.4%) and $263.34 million in FY2021 (+41.7%).
- Five-year quarterly Cost of Revenue spans a low of $66.07 million in Q3 2021 and a high of $176.97 million in Q1 2026.
- Year over year, Cost of Revenue has now increased in each of the last 38 quarters, with growth averaging 11.8% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 7.1% (Q4 2025) and 61.6% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $176.97 million (Q1 2026), $161.77 million (Q4 2025) and $174.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Freshpet | 2.93 Bn | 1.65 Bn | 128.69 Mn | 176.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.89 Mn |
| Mar 31, 2026 | 176.97 Mn |
| Dec 31, 2025 | 161.77 Mn |
| Sep 30, 2025 | 174.66 Mn |
| Jun 30, 2025 | 156.50 Mn |
| Mar 31, 2025 | 159.46 Mn |
| Dec 31, 2024 | 151.11 Mn |
| Sep 30, 2024 | 151.12 Mn |
| Jun 30, 2024 | 141.30 Mn |
| Mar 31, 2024 | 135.69 Mn |
| Dec 31, 2023 | 140.85 Mn |
| Sep 30, 2023 | 134.33 Mn |
| Jun 30, 2023 | 124.09 Mn |
| Mar 31, 2023 | 116.76 Mn |
| Dec 31, 2022 | 120.12 Mn |
| Sep 30, 2022 | 106.79 Mn |
| Jun 30, 2022 | 94.93 Mn |
| Mar 31, 2022 | 87.42 Mn |
| Dec 31, 2021 | 74.65 Mn |
| Sep 30, 2021 | 66.07 Mn |
Freshpet Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=FRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "FRPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();