Freshpet (FRPT) EBITDA (2013 - 2026)
Freshpet's EBITDA was $46.67 million in Q2 2026, up 21.5% from $38.41 million a year earlier and up 59.2% from the prior quarter.
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Analysis
Freshpet (FRPT) EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Freshpet's EBITDA was $192.64 million through Jun 30, 2026, up 60.1% year-over-year; for FY2025, it was $165.39 million, up 48.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 53.9% (FY2020 to FY2025).
- In earlier years, EBITDA was $111.61 million in FY2024 (+297.6%), $28.07 million in FY2023, -$17.43 million in FY2022 and $5.81 million in FY2021 (-69.7%).
- Quarterly EBITDA has moved between -$10.25 million (Q2 2022) and $67.39 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 86.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2023 (growth of 246.8%); the worst was Q4 2021 (a decline of 88.9%).
- Per Business Quant data, FRPT's EBITDA in the three quarters before Q2 2026 was $29.32 million (Q1 2026), $67.39 million (Q4 2025) and $49.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Freshpet | 3.08 Bn | 1.79 Bn | 128.69 Mn | 47.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.23 Mn |
| Mar 31, 2026 | 29.88 Mn |
| Dec 31, 2025 | 67.39 Mn |
| Sep 30, 2025 | 49.81 Mn |
| Jun 30, 2025 | 38.95 Mn |
| Mar 31, 2025 | 10.87 Mn |
| Dec 31, 2024 | 41.27 Mn |
| Sep 30, 2024 | 31.36 Mn |
| Jun 30, 2024 | 16.19 Mn |
| Mar 31, 2024 | 24.88 Mn |
| Dec 31, 2023 | 28.49 Mn |
| Sep 30, 2023 | 9.94 Mn |
| Jun 30, 2023 | -1.76 Mn |
| Mar 31, 2023 | -4.54 Mn |
| Dec 31, 2022 | 8.27 Mn |
| Sep 30, 2022 | -7.17 Mn |
| Jun 30, 2022 | -9.99 Mn |
| Mar 31, 2022 | -7.74 Mn |
| Dec 31, 2021 | 539,000.00 |
| Sep 30, 2021 | 7.10 Mn |
API Access
Freshpet EBITDA 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=ebitda&ticker=FRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();