Freshpet (FRPT) Return on Sales [ROS] (2013 - 2026)
Freshpet (FRPT) posted Return on Sales [ROS] of 7.10% for Q2 2026, up 0.38 percentage points from 6.73% a year earlier and up 5.65 percentage points from the prior quarter.
Freshpet (FRPT) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Freshpet was 8.10%, up 4.50 percentage points year-over-year; for FY2025, it came in at 6.87%, up 2.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +7.49 percentage points (FY2020 to FY2025).
- In prior years, Freshpet's Return on Sales [ROS] was 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 Return on Sales [ROS] has run from a low of -12.84% in Q1 2023 to a high of 15.59% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +3.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 16.62 percentage points; the weakest was Q3 2022, with a drop of 9.73 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 1.46% (Q1 2026), 15.59% (Q4 2025) and 8.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Freshpet | 2.93 Bn | 1.65 Bn | 128.69 Mn | 7.10% |
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% |
Freshpet Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();