Freshpet (FRPT) Cash & Equivalents (2013 - 2026)
Freshpet (FRPT) recorded Cash & Equivalents of $350.81 million in Q2 2026, up 44.0% from $243.68 million a year earlier but down 8.0% from the prior quarter.
Freshpet (FRPT) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Freshpet reported Cash & Equivalents of $277.98 million, up 3.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $268.63 million in FY2024 (-9.5%), $296.87 million in FY2023 (+123.7%), $132.74 million in FY2022 (+82.4%) and $72.79 million in FY2021 (+8.2%).
- Quarterly Cash & Equivalents has ranged from $29.73 million in Q1 2022 to $381.38 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 123.7% in Q4 2023, against a decline of 91.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $381.38 million (Q1 2026), $277.98 million (Q4 2025) and $274.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Freshpet | 2.93 Bn | 1.65 Bn | 128.69 Mn | 350.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 350.81 Mn |
| Mar 31, 2026 | 381.38 Mn |
| Dec 31, 2025 | 277.98 Mn |
| Sep 30, 2025 | 274.59 Mn |
| Jun 30, 2025 | 243.68 Mn |
| Mar 31, 2025 | 243.73 Mn |
| Dec 31, 2024 | 268.63 Mn |
| Sep 30, 2024 | 274.59 Mn |
| Jun 30, 2024 | 251.70 Mn |
| Mar 31, 2024 | 257.89 Mn |
| Dec 31, 2023 | 296.87 Mn |
| Sep 30, 2023 | 338.11 Mn |
| Jun 30, 2023 | 244.05 Mn |
| Mar 31, 2023 | 337.14 Mn |
| Dec 31, 2022 | 132.74 Mn |
| Sep 30, 2022 | 240.31 Mn |
| Jun 30, 2022 | 307.35 Mn |
| Mar 31, 2022 | 29.73 Mn |
| Dec 31, 2021 | 72.79 Mn |
| Sep 30, 2021 | 170.84 Mn |
Freshpet Cash & Equivalents 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=cash-and-equivalents&ticker=FRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();