Freshpet (FRPT) Operating Expenses (2013 - 2026)
Freshpet's Operating Expenses came in at $106.99 million for Q2 2026, up 18.4% from $90.39 million a year earlier but down 8.0% from the prior quarter.
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Analysis
Freshpet (FRPT) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Freshpet reported Operating Expenses of $391.61 million, up 0.9% year-over-year; for FY2025, it came in at $373.95 million, up 4.5% from FY2024.
- Operating Expenses has increased in each of the last 13 years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $357.96 million in FY2024 (+27.2%), $281.32 million in FY2023 (+18.2%), $238.02 million in FY2022 (+27.4%) and $186.81 million in FY2021 (+38.5%).
- The five-year range for quarterly Operating Expenses is $42.37 million (Q3 2021) to $116.34 million (Q1 2026).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 15.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 54.5%), and the weakest in Q4 2025 (a decline of 14.3%).
- Business Quant data shows FRPT's Operating Expenses at $116.34 million (Q1 2026), $78.99 million (Q4 2025) and $89.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Freshpet | 2.78 Bn | 1.49 Bn | 128.69 Mn | 106.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.99 Mn |
| Mar 31, 2026 | 116.34 Mn |
| Dec 31, 2025 | 78.99 Mn |
| Sep 30, 2025 | 89.29 Mn |
| Jun 30, 2025 | 90.39 Mn |
| Mar 31, 2025 | 115.29 Mn |
| Dec 31, 2024 | 92.22 Mn |
| Sep 30, 2024 | 90.34 Mn |
| Jun 30, 2024 | 95.70 Mn |
| Mar 31, 2024 | 79.70 Mn |
| Dec 31, 2023 | 59.68 Mn |
| Sep 30, 2023 | 73.37 Mn |
| Jun 30, 2023 | 76.00 Mn |
| Mar 31, 2023 | 72.27 Mn |
| Dec 31, 2022 | 47.78 Mn |
| Sep 30, 2022 | 60.45 Mn |
| Jun 30, 2022 | 69.22 Mn |
| Mar 31, 2022 | 60.63 Mn |
| Dec 31, 2021 | 48.85 Mn |
| Sep 30, 2021 | 42.37 Mn |
API Access
Freshpet Operating Expenses 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=operating-expenses&ticker=FRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();