Freshpet (FRPT) Total Liabilities (2013 - 2026)
Freshpet (FRPT) posted Total Liabilities of $574.72 million for Q2 2026, down 0.2% from $575.84 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Freshpet (FRPT) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Freshpet's Total Liabilities came in at $569.12 million, up 9.5% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 69.9% (FY2020 to FY2025).
- In prior years, Freshpet's Total Liabilities was $519.52 million in FY2024 (+1.7%), $510.97 million in FY2023 (+444.7%), $93.81 million in FY2022 (+45.1%) and $64.66 million in FY2021 (+60.8%).
- Quarterly Total Liabilities has run from a low of $34.81 million in Q3 2021 to a high of $577.12 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 6.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 444.7%; the weakest was Q2 2026, with a decline of 0.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $577.12 million (Q1 2026), $569.12 million (Q4 2025) and $567.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Freshpet | 2.78 Bn | 1.49 Bn | 128.69 Mn | 574.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 574.72 Mn |
| Mar 31, 2026 | 577.12 Mn |
| Dec 31, 2025 | 569.12 Mn |
| Sep 30, 2025 | 567.14 Mn |
| Jun 30, 2025 | 575.84 Mn |
| Mar 31, 2025 | 509.54 Mn |
| Dec 31, 2024 | 519.52 Mn |
| Sep 30, 2024 | 510.25 Mn |
| Jun 30, 2024 | 510.53 Mn |
| Mar 31, 2024 | 502.75 Mn |
| Dec 31, 2023 | 510.97 Mn |
| Sep 30, 2023 | 505.78 Mn |
| Jun 30, 2023 | 472.59 Mn |
| Mar 31, 2023 | 451.11 Mn |
| Dec 31, 2022 | 93.81 Mn |
| Sep 30, 2022 | 135.56 Mn |
| Jun 30, 2022 | 140.85 Mn |
| Mar 31, 2022 | 145.41 Mn |
| Dec 31, 2021 | 64.66 Mn |
| Sep 30, 2021 | 34.81 Mn |
API Access
Freshpet Total Liabilities 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=total-liabilities&ticker=FRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();