Freshpet (FRPT) Operating Margin (2013 - 2026)
Freshpet (FRPT) recorded Operating Margin of 7.10% in Q2 2026, up 0.38 percentage points from 6.73% a year earlier and up 5.65 percentage points from the prior quarter.
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Analysis
Freshpet (FRPT) Operating Margin (2013 - 2026) Analysis & Trends
On a TTM basis, Freshpet's Operating Margin came in at 8.10% as of Jun 30, 2026, up 4.50 percentage points year-over-year; for FY2025, it was 6.87%, up 2.97 percentage points from FY2024.
- Annual Operating Margin has increased for three straight years, with a five-year change of +7.49 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 3.90% in FY2024 (+7.87 pp), -3.97% in FY2023 (+4.76 pp), -8.73% in FY2022 (-2.94 pp) and -5.80% in FY2021 (-5.17 pp).
- Quarterly Operating Margin has ranged from -12.84% in Q1 2023 to 15.59% in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Margin has increased for five consecutive quarters, with an average year-over-year change of +3.29 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 16.62 percentage points in Q1 2024, against a drop of 9.73 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.46% (Q1 2026), 15.59% (Q4 2025) and 8.62% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 14.43% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 14.27% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 23.05% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.76% |
| 10 | Freshpet | 2.78 Bn | 1.49 Bn | 128.69 Mn | 7.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10% |
| Mar 31, 2026 | 1.46% |
| Dec 31, 2025 | 15.59% |
| Sep 30, 2025 | 8.62% |
| Jun 30, 2025 | 6.73% |
| Mar 31, 2025 | -4.37% |
| Dec 31, 2024 | 7.38% |
| Sep 30, 2024 | 4.70% |
| Jun 30, 2024 | -0.74% |
| Mar 31, 2024 | 3.78% |
| Dec 31, 2023 | 6.91% |
| Sep 30, 2023 | -3.53% |
| Jun 30, 2023 | -9.14% |
| Mar 31, 2023 | -12.84% |
| Dec 31, 2022 | -1.25% |
| Sep 30, 2022 | -10.51% |
| Jun 30, 2022 | -12.42% |
| Mar 31, 2022 | -12.01% |
| Dec 31, 2021 | -6.59% |
| Sep 30, 2021 | -0.78% |
API Access
Freshpet Operating Margin 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-margin&ticker=FRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();