Tilray Brands (TLRY) Operating Expenses (2017 - 2026)
Tilray Brands (TLRY) posted Operating Expenses of $101.56 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 83.4% from $55.38 million a year earlier but down 5.1% from the prior quarter.
Tilray Brands (TLRY) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Operating Expenses at Tilray Brands was $369.65 million, down 85.1% year-over-year; for FY2026 (ended May 31, 2026), it was $323.47 million, down 87.2% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In prior fiscal years, Tilray Brands' Operating Expenses was $2.52 billion in FY2025 (+533.8%), $398.1 million in FY2024 (-73.8%), $1.52 billion in FY2023 (+108.6%) and $727.22 million in FY2022 (+184.8%).
- Quarterly Operating Expenses has run from a low of $55.38 million in fiscal Q1 2026 to a high of $1.51 billion in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with growth averaging 52.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2025, with growth of 517.5%; the weakest was fiscal Q4 2026, with a decline of 92.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $106.98 million (Q4 2026), $81.34 million (Q3 2026) and $79.78 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 304.69 Bn | 284.33 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 127.90 Bn | 104.26 Bn | - | - |
| 3 | Altria | 123.48 Bn | 109.64 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Trulieve Cannabis | 2.15 Bn | 768.62 Mn | 162.29 Mn | 532.81 Mn |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.68 Bn | 169.91 Mn | 165.69 Mn |
| 6 | RLX Technology | 2.01 Bn | -1.75 Bn | 52.74 Mn | -33.52 Mn |
| 7 | Green Thumb Industries | 1.38 Bn | 230.90 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Turning Point Brands | 1.29 Bn | 394.00 Mn | 93.70 Mn | 76.99 Mn |
| 9 | Cronos | 1.23 Bn | -2.05 Bn | 28.45 Mn | 21.05 Mn |
| 10 | Tilray Brands | 396.02 Mn | -571.48 Mn | 77.51 Mn | 101.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 101.56 Mn |
| May 31, 2026 | 106.98 Mn |
| Feb 28, 2026 | 81.34 Mn |
| Nov 30, 2025 | 79.78 Mn |
| Aug 31, 2025 | 55.38 Mn |
| May 31, 2025 | 1.51 Bn |
| Feb 28, 2025 | 811.94 Mn |
| Nov 30, 2024 | 103.44 Mn |
| Aug 31, 2024 | 96.28 Mn |
| May 31, 2024 | 98.88 Mn |
| Feb 29, 2024 | 131.49 Mn |
| Nov 30, 2023 | 89.17 Mn |
| Aug 31, 2023 | 78.56 Mn |
| May 31, 2023 | 157.14 Mn |
| Feb 28, 2023 | 1.20 Bn |
| Nov 30, 2022 | 94.67 Mn |
| Aug 31, 2022 | 69.79 Mn |
| May 31, 2022 | 460.69 Mn |
| Feb 28, 2022 | 57.91 Mn |
| Nov 30, 2021 | 88.30 Mn |
Tilray Brands 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=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TLRY", "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=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();