Village Farms International (VFF) Accumulated Expenses (2018 - 2026)
Village Farms International's Accumulated Expenses was $16.7 million in Q2 2026, up 16.4% from $14.34 million a year earlier but down 2.4% from the prior quarter.
Village Farms International (VFF) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Village Farms International came in at $13.96 million, up 55.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $8.97 million in FY2024 (-40.5%), $15.08 million in FY2023 (+15.4%), $13.06 million in FY2022 (-7.8%) and $14.17 million in FY2021 (+36.7%).
- Quarterly Accumulated Expenses has moved between $8.97 million (Q4 2024) and $22.33 million (Q3 2021) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 234.5%); the worst was Q4 2024 (a decline of 40.5%).
- Per Business Quant data, VFF's Accumulated Expenses in the three quarters before Q2 2026 was $17.12 million (Q1 2026), $13.96 million (Q4 2025) and $10.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn |
| 10 | Village Farms International | 354.57 Mn | 73.87 Mn | 29.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.70 Mn |
| Mar 31, 2026 | 17.12 Mn |
| Dec 31, 2025 | 13.96 Mn |
| Sep 30, 2025 | 10.12 Mn |
| Jun 30, 2025 | 14.34 Mn |
| Mar 31, 2025 | 15.03 Mn |
| Dec 31, 2024 | 8.97 Mn |
| Sep 30, 2024 | 12.41 Mn |
| Jun 30, 2024 | 13.30 Mn |
| Mar 31, 2024 | 12.02 Mn |
| Dec 31, 2023 | 15.08 Mn |
| Sep 30, 2023 | 15.90 Mn |
| Jun 30, 2023 | 19.38 Mn |
| Mar 31, 2023 | 14.39 Mn |
| Dec 31, 2022 | 13.06 Mn |
| Sep 30, 2022 | 14.86 Mn |
| Jun 30, 2022 | 17.56 Mn |
| Mar 31, 2022 | 15.66 Mn |
| Dec 31, 2021 | 14.17 Mn |
| Sep 30, 2021 | 22.33 Mn |
Village Farms International Accumulated Expenses 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=accumulated-expenses&ticker=VFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();