Verano Holdings (VRNO) Operating Expenses (2021 - 2026)
Verano Holdings' Operating Expenses was $96.56 million in Q2 2026, up 11.3% from $86.77 million a year earlier and up 12.4% from the prior quarter.
Verano Holdings (VRNO) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Verano Holdings' Operating Expenses was $531.67 million through Jun 30, 2026, down 21.2% year-over-year; for FY2025, it came in at $520.59 million, down 23.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 64.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $681.11 million in FY2024 (+74.6%), $390.12 million in FY2023 (-33.4%), $585.75 million in FY2022 (+116.2%) and $270.93 million in FY2021 (+526.2%).
- Quarterly Operating Expenses has moved between $75.24 million (Q1 2023) and $411.42 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 20.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 279.4%); the worst was Q4 2023 (a decline of 55.7%).
- Per Business Quant data, VRNO's Operating Expenses in the three quarters before Q2 2026 was $85.88 million (Q1 2026), $263.28 million (Q4 2025) and $85.96 million (Q3 2025).
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 | Verano Holdings | 871.29 Mn | 544.91 Mn | 99.70 Mn | 96.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.56 Mn |
| Mar 31, 2026 | 85.88 Mn |
| Dec 31, 2025 | 263.28 Mn |
| Sep 30, 2025 | 85.96 Mn |
| Jun 30, 2025 | 86.77 Mn |
| Mar 31, 2025 | 84.58 Mn |
| Dec 31, 2024 | 411.42 Mn |
| Sep 30, 2024 | 92.33 Mn |
| Jun 30, 2024 | 87.07 Mn |
| Mar 31, 2024 | 90.29 Mn |
| Dec 31, 2023 | 137.32 Mn |
| Sep 30, 2023 | 92.89 Mn |
| Jun 30, 2023 | 84.66 Mn |
| Mar 31, 2023 | 75.24 Mn |
| Dec 31, 2022 | 310.22 Mn |
| Sep 30, 2022 | 85.71 Mn |
| Jun 30, 2022 | 100.26 Mn |
| Mar 31, 2022 | 89.56 Mn |
| Dec 31, 2021 | 81.77 Mn |
| Sep 30, 2021 | 76.48 Mn |
Verano Holdings 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=VRNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VRNO", "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=VRNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();