Tilray Brands (TLRY) Operating Leases (2019 - 2026)
Tilray Brands' Operating Leases was $158.61 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 150.4% from $63.35 million a year earlier and up 0.3% from the prior quarter.
Powered by 
Analysis
Tilray Brands (TLRY) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Operating Leases at Tilray Brands came in at $158.16 million, up 143.6% from FY2025.
- Operating Leases has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 24.0% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $64.93 million in FY2025 (+7.5%), $60.42 million in FY2024 (+661.4%), $7.94 million in FY2023 (-29.9%) and $11.33 million in FY2022 (-79.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Leases in data going back to fiscal Q4 2020.
- Compared with a year earlier, Operating Leases was higher in four of the last six quarters, with growth averaging 49.0%.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q3 2024 (growth of 751.7%); the worst was fiscal Q1 2023 (a decline of 82.0%).
- Per Business Quant data, TLRY's Operating Leases in the three fiscal quarters before Q1 2027 was $158.16 million (Q4 2026), $60.28 million (Q3 2026) and $61.74 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Trulieve Cannabis | 2.09 Bn | 705.03 Mn | 162.29 Mn |
| 5 | RLX Technology | 2.07 Bn | -1.69 Bn | 52.74 Mn |
| 6 | Curaleaf Holdings | 2.07 Bn | 1.67 Bn | 169.91 Mn |
| 7 | Green Thumb Industries | 1.38 Bn | 228.69 Mn | 137.87 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 383.66 Mn | 93.70 Mn |
| 9 | Cronos | 1.23 Bn | -2.04 Bn | 28.45 Mn |
| 10 | Tilray Brands | 406.02 Mn | -561.48 Mn | 77.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 158.61 Mn |
| May 31, 2026 | 158.16 Mn |
| Feb 28, 2026 | 60.28 Mn |
| Nov 30, 2025 | 61.74 Mn |
| Aug 31, 2025 | 63.35 Mn |
| May 31, 2025 | 64.93 Mn |
| Nov 30, 2024 | 62.02 Mn |
| Aug 31, 2024 | 60.66 Mn |
| May 31, 2024 | 60.42 Mn |
| Feb 29, 2024 | 73.23 Mn |
| Nov 30, 2023 | 69.97 Mn |
| Aug 31, 2023 | 7.46 Mn |
| May 31, 2023 | 7.94 Mn |
| Feb 28, 2023 | 8.60 Mn |
| Nov 30, 2022 | 9.00 Mn |
| Aug 31, 2022 | 9.58 Mn |
| May 31, 2022 | 11.33 Mn |
| Feb 28, 2022 | 16.21 Mn |
| Nov 30, 2021 | 49.27 Mn |
| Aug 31, 2021 | 53.33 Mn |
API Access
Tilray Brands Operating Leases 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-leases&ticker=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();