Vital Farms (VITL) Return on Sales [ROS] (2019 - 2026)
Vital Farms' Return on Sales [ROS] came in at -24.18% for Q2 2026, down 37.06 percentage points from 12.88% a year earlier and down 22.93 percentage points from the prior quarter.
Powered by 
Analysis
Vital Farms (VITL) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Vital Farms reported Return on Sales [ROS] of 0.04%, down 10.26 percentage points year-over-year; for FY2025, it came in at 11.64%, up 1.15 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last four years, with a five-year change of +5.93 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 10.48% in FY2024 (+3.43 pp), 7.05% in FY2023 (+6.47 pp), 0.58% in FY2022 (+0.56 pp) and 0.02% in FY2021 (-5.69 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q1 2019.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -5.50 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 14.45 percentage points), and the weakest in Q2 2026 (a drop of 37.06 percentage points).
- Business Quant data shows VITL's Return on Sales [ROS] at -1.25% (Q1 2026), 10.03% (Q4 2025) and 10.76% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Vital Farms | 388.93 Mn | 188.44 Mn | 10.93 Mn | -24.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -24.18% |
| Mar 29, 2026 | -1.25% |
| Dec 28, 2025 | 10.03% |
| Sep 28, 2025 | 10.76% |
| Jun 29, 2025 | 12.88% |
| Mar 30, 2025 | 13.42% |
| Dec 29, 2024 | 7.83% |
| Sep 29, 2024 | 6.37% |
| Jun 30, 2024 | 11.63% |
| Mar 31, 2024 | 16.34% |
| Dec 31, 2023 | 6.69% |
| Sep 24, 2023 | 4.74% |
| Jun 25, 2023 | 7.55% |
| Mar 26, 2023 | 9.14% |
| Dec 25, 2022 | 3.13% |
| Sep 25, 2022 | 2.20% |
| Jun 26, 2022 | 0.87% |
| Mar 27, 2022 | -5.30% |
| Dec 26, 2021 | -5.48% |
| Sep 26, 2021 | -2.79% |
API Access
Vital Farms 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=VITL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VITL", "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=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();