Cronos (CRON) Operating Expenses (2019 - 2026)
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Analysis
Cronos (CRON) Operating Expenses (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 301.07 Bn | 278.06 Bn | 7.85 Bn | - |
| 2 | British American Tobacco p.l.c | 131.44 Bn | 107.81 Bn | - | - |
| 3 | Altria | 125.79 Bn | 112.72 Bn | 3.94 Bn | 3.00 Mn |
| 4 | Curaleaf Holdings | 2.41 Bn | 2.03 Bn | 170.48 Mn | 167.53 Mn |
| 5 | Trulieve Cannabis | 2.13 Bn | 742.61 Mn | 162.29 Mn | 532.81 Mn |
| 6 | RLX Technology | 1.96 Bn | -1.81 Bn | 52.74 Mn | 33.52 Mn |
| 7 | Green Thumb Industries | 1.46 Bn | 227.14 Mn | 146.79 Mn | 121.70 Mn |
| 8 | Cronos | 1.38 Bn | -1.90 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.26 Bn | 364.66 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Tilray Brands | 383.35 Mn | -584.15 Mn | 77.51 Mn | 101.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.05 Mn |
| Mar 31, 2026 | 20.99 Mn |
| Dec 31, 2025 | 23.69 Mn |
| Sep 30, 2025 | 18.84 Mn |
| Jun 30, 2025 | 19.83 Mn |
| Mar 31, 2025 | 17.81 Mn |
| Dec 31, 2024 | 22.17 Mn |
| Sep 30, 2024 | 37.27 Mn |
| Jun 30, 2024 | 21.86 Mn |
| Mar 31, 2024 | 20.43 Mn |
| Dec 31, 2023 | 23.55 Mn |
| Sep 30, 2023 | 25.75 Mn |
| Jun 30, 2023 | 23.72 Mn |
| Mar 31, 2023 | 23.70 Mn |
| Dec 31, 2022 | 28.29 Mn |
| Sep 30, 2022 | 30.48 Mn |
| Jun 30, 2022 | 29.62 Mn |
| Mar 31, 2022 | 42.98 Mn |
| Dec 31, 2021 | -104.11 Mn |
| Sep 30, 2021 | 55.68 Mn |
API Access
Cronos 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=CRON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRON", "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=CRON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();