Canopy Growth (CGC) Operating Expenses (2019 - 2026)
Canopy Growth (CGC) recorded Operating Expenses of $32.06 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.2% from $29.35 million a year earlier but down 57.7% from the prior quarter.
Canopy Growth (CGC) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Canopy Growth's Operating Expenses came in at $170.42 million as of Jun 30, 2026, up 27.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $167.39 million, up 18.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -29.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $141.46 million in FY2025 (-38.4%), $229.65 million in FY2024 (-88.2%), $1.94 billion in FY2023 (+192.9%) and $663.3 million in FY2022 (-33.1%).
- Quarterly Operating Expenses has ranged from $20.08 million in fiscal Q4 2025 to $1.44 billion in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 26.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 723.9% in fiscal Q1 2023, against a decline of 96.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $75.88 million (Q4 2026), $34.29 million (Q3 2026) and $28.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 311.51 Bn | 291.15 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.24 Bn | 105.61 Bn | - | - |
| 3 | Altria | 124.94 Bn | 111.10 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Trulieve Cannabis | 2.09 Bn | 705.03 Mn | 162.29 Mn | 532.81 Mn |
| 5 | RLX Technology | 2.07 Bn | -1.69 Bn | 52.74 Mn | -33.52 Mn |
| 6 | Curaleaf Holdings | 2.07 Bn | 1.67 Bn | 169.91 Mn | 165.69 Mn |
| 7 | Green Thumb Industries | 1.38 Bn | 228.69 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 383.66 Mn | 93.70 Mn | 76.99 Mn |
| 9 | Cronos | 1.23 Bn | -2.04 Bn | 28.45 Mn | 21.05 Mn |
| 10 | Canopy Growth | 304.11 Mn | -694.87 Mn | 16.08 Mn | 32.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.06 Mn |
| Mar 31, 2026 | 75.88 Mn |
| Dec 31, 2025 | 34.29 Mn |
| Sep 30, 2025 | 28.19 Mn |
| Jun 30, 2025 | 29.35 Mn |
| Mar 31, 2025 | 20.08 Mn |
| Dec 31, 2024 | 34.30 Mn |
| Sep 30, 2024 | 49.69 Mn |
| Jun 30, 2024 | 38.12 Mn |
| Mar 31, 2024 | 90.69 Mn |
| Dec 31, 2023 | 65.04 Mn |
| Sep 30, 2023 | 22.70 Mn |
| Jun 30, 2023 | 50.93 Mn |
| Mar 31, 2023 | 355.39 Mn |
| Dec 31, 2022 | 86.87 Mn |
| Sep 30, 2022 | 113.91 Mn |
| Jun 30, 2022 | 1.44 Bn |
| Mar 31, 2022 | 246.45 Mn |
| Dec 31, 2021 | 126.97 Mn |
| Sep 30, 2021 | 114.57 Mn |
Canopy 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=CGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CGC", "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=CGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();