Vital Farms (VITL) Return on Capital Employed [ROCE] (2020 - 2026)
Vital Farms (VITL) reported Return on Capital Employed [ROCE] of -7.20% for Q3 2026, down 29.82 percentage points from 22.62% a year earlier and down 7.30 percentage points from the prior quarter.
Vital Farms (VITL) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Vital Farms posted Return on Capital Employed [ROCE] of 27.84%, up 1.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for four consecutive years, with a five-year change of +14.36 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 26.62% in FY2024 (+8.12 pp), 18.51% in FY2023 (+17.14 pp), 1.36% in FY2022 (+1.32 pp) and 0.04% in FY2021 (-13.44 pp).
- The Q3 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2020.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last three quarters, with an average year-over-year change of -6.46 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2023 (a gain of 19.86 percentage points); the low point was Q3 2026 (a drop of 29.82 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 0.09% (Q2 2026), 16.60% (Q1 2026) and 23.35% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 11.13% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 23.54% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -5.19% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 24.87% |
| 10 | Vital Farms | 429.78 Mn | 239.13 Mn | 42.14 Mn | -7.20% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -7.20% |
| Jun 28, 2026 | 0.09% |
| Mar 29, 2026 | 16.60% |
| Dec 28, 2025 | 23.35% |
| Sep 28, 2025 | 22.62% |
| Jun 29, 2025 | 23.14% |
| Mar 30, 2025 | 21.04% |
| Dec 29, 2024 | 23.24% |
| Sep 29, 2024 | 23.40% |
| Jun 30, 2024 | 22.86% |
| Mar 31, 2024 | 21.41% |
| Dec 31, 2023 | 16.85% |
| Sep 24, 2023 | 14.51% |
| Jun 25, 2023 | 13.57% |
| Mar 26, 2023 | 10.04% |
| Dec 25, 2022 | 1.29% |
| Sep 25, 2022 | -3.66% |
| Jun 26, 2022 | -6.29% |
| Mar 27, 2022 | -4.67% |
| Dec 26, 2021 | 0.03% |
Vital Farms Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VITL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VITL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();