Tilray Brands (TLRY) Operating Expenses (2017 - 2026)
Tilray Brands (TLRY) posted Operating Expenses of $106.98 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 92.9% from $1.51 billion a year earlier but up 31.5% from the prior quarter.
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Analysis
Tilray Brands (TLRY) Operating Expenses (2017 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Tilray Brands' Operating Expenses came in at $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 has declined in each of the last four quarters, with growth averaging 44.0% over the last seven quarters.
- 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 $81.34 million (Q3 2026), $79.78 million (Q2 2026) and $55.38 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.31 Bn | 283.88 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 126.84 Bn | 105.99 Bn | - | - |
| 3 | Altria | 114.73 Bn | 100.93 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.84 Bn | 2.44 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.39 Bn | 1.00 Bn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.49 Bn | 344.56 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.25 Bn | -1.97 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 336.94 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Tilray Brands | 520.15 Mn | -510.26 Mn | 90.52 Mn | 106.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 120.32 Mn |
API Access
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();