Vireo Growth (VREOF) Operating Expenses (2020 - 2026)
Vireo Growth's Operating Expenses came in at $101.6 million for Q2 2026, up 353.6% from $22.4 million a year earlier and up 102.0% from the prior quarter.
Vireo Growth (VREOF) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vireo Growth reported Operating Expenses of $247.17 million, up 351.3% year-over-year; for FY2025, it was $128.14 million, up 244.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $37.21 million in FY2024 (+11.0%), $33.52 million in FY2023 (-11.4%), $37.85 million in FY2022 (-6.0%) and $40.28 million in FY2021 (+0.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2020.
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 218.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 383.7%), and the weakest in Q2 2024 (a decline of 25.2%).
- Business Quant data shows VREOF's Operating Expenses at $50.3 million (Q1 2026), $58.7 million (Q4 2025) and $36.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Vireo Growth | 480.63 Mn | -23.92 Mn | 95.30 Mn | 101.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.60 Mn |
| Mar 31, 2026 | 50.30 Mn |
| Dec 31, 2025 | 58.70 Mn |
| Sep 30, 2025 | 36.57 Mn |
| Jun 30, 2025 | 22.40 Mn |
| Mar 31, 2025 | 10.40 Mn |
| Dec 31, 2024 | 13.49 Mn |
| Sep 30, 2024 | 8.47 Mn |
| Jun 30, 2024 | 7.76 Mn |
| Mar 31, 2024 | 7.48 Mn |
| Dec 31, 2023 | 6.67 Mn |
| Sep 30, 2023 | 7.33 Mn |
| Jun 30, 2023 | 10.37 Mn |
| Mar 31, 2023 | 9.15 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 9.73 Mn |
| Jun 30, 2022 | 10.06 Mn |
| Mar 31, 2022 | 10.25 Mn |
| Dec 31, 2021 | 10.41 Mn |
| Sep 30, 2021 | 9.25 Mn |
Vireo Growth Operating 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=operating-expenses&ticker=VREOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VREOF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=VREOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();