Village Farms International (VFF) Return on Capital Employed [ROCE] (2020 - 2026)
Village Farms International's Return on Capital Employed [ROCE] was 10.19% in Q2 2026, up 15.50 percentage points from -5.31% a year earlier and up 1.28 percentage points from the prior quarter.
Village Farms International (VFF) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Village Farms International came in at 10.80%, up 12.10 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +18.35 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -1.31% in FY2024 (-3.00 pp), 1.70% in FY2023 (+9.08 pp), -7.38% in FY2022 (-5.17 pp) and -2.21% in FY2021 (+5.34 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +3.51 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2026 (a gain of 17.53 percentage points); the worst was Q1 2025 (a drop of 9.57 percentage points).
- Per Business Quant data, VFF's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 8.91% (Q1 2026), 5.71% (Q4 2025) and -1.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | 38.19% |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 41.87% |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 0.77% |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 3.58% |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | -11.88% |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 4.47% |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | -0.22% |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 10.34% |
| 10 | Village Farms International | 354.57 Mn | 73.87 Mn | 29.97 Mn | 10.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.19% |
| Mar 31, 2026 | 8.91% |
| Dec 31, 2025 | 5.71% |
| Sep 30, 2025 | -1.05% |
| Jun 30, 2025 | -5.31% |
| Mar 31, 2025 | -8.62% |
| Dec 31, 2024 | -5.67% |
| Sep 30, 2024 | 1.92% |
| Jun 30, 2024 | 1.49% |
| Mar 31, 2024 | 0.96% |
| Dec 31, 2023 | -0.80% |
| Sep 30, 2023 | -5.96% |
| Jun 30, 2023 | -8.50% |
| Mar 31, 2023 | -10.34% |
| Dec 31, 2022 | -10.76% |
| Sep 30, 2022 | -7.53% |
| Jun 30, 2022 | -4.09% |
| Mar 31, 2022 | -2.21% |
| Dec 31, 2021 | -1.82% |
| Sep 30, 2021 | -2.31% |
Village Farms International 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=VFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VFF", "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=VFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();