Tilray Brands (TLRY) Total Liabilities (2017 - 2026)
Tilray Brands (TLRY) posted Total Liabilities of $704.6 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 25.4% from $561.99 million a year earlier but down 1.3% from the prior quarter.
Tilray Brands (TLRY) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Tilray Brands' Total Liabilities came in at $713.68 million, up 22.0% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of -14.5% (FY2021 to FY2026).
- In prior fiscal years, Tilray Brands' Total Liabilities was $584.75 million in FY2025 (-24.9%), $778.49 million in FY2024 (-20.3%), $977.32 million in FY2023 (-3.1%) and $1.01 billion in FY2022 (-35.4%).
- Quarterly Total Liabilities has run from a low of $517.35 million in fiscal Q3 2026 to a high of $1.29 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last six quarters, with an average decline of 8.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2027, with growth of 25.4%; the weakest was fiscal Q1 2023, with a decline of 35.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $713.68 million (Q4 2026), $517.35 million (Q3 2026) and $552.09 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 311.51 Bn | 291.15 Bn | 7.66 Bn | 76.85 Bn |
| 2 | British American Tobacco p.l.c | 129.24 Bn | 105.61 Bn | - | 82.04 Bn |
| 3 | Altria | 124.94 Bn | 111.10 Bn | 3.82 Bn | 36.04 Bn |
| 4 | Trulieve Cannabis | 2.09 Bn | 705.03 Mn | 162.29 Mn | 1.31 Bn |
| 5 | RLX Technology | 2.07 Bn | -1.69 Bn | 52.74 Mn | 180.32 Mn |
| 6 | Curaleaf Holdings | 2.07 Bn | 1.67 Bn | 169.91 Mn | 1.95 Bn |
| 7 | Green Thumb Industries | 1.38 Bn | 228.69 Mn | 137.87 Mn | 954.64 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 383.66 Mn | 93.70 Mn | 401.17 Mn |
| 9 | Cronos | 1.23 Bn | -2.04 Bn | 28.45 Mn | 62.42 Mn |
| 10 | Tilray Brands | 406.02 Mn | -561.48 Mn | 77.51 Mn | 704.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 704.60 Mn |
| May 31, 2026 | 713.68 Mn |
| Feb 28, 2026 | 517.35 Mn |
| Nov 30, 2025 | 552.09 Mn |
| Aug 31, 2025 | 561.99 Mn |
| May 31, 2025 | 584.75 Mn |
| Nov 30, 2024 | 738.15 Mn |
| Aug 31, 2024 | 778.45 Mn |
| May 31, 2024 | 778.49 Mn |
| Feb 29, 2024 | 869.82 Mn |
| Nov 30, 2023 | 937.20 Mn |
| Aug 31, 2023 | 1.00 Bn |
| May 31, 2023 | 977.32 Mn |
| Feb 28, 2023 | 969.13 Mn |
| Nov 30, 2022 | 991.23 Mn |
| Aug 31, 2022 | 1.03 Bn |
| May 31, 2022 | 1.01 Bn |
| Feb 28, 2022 | 1.16 Bn |
| Nov 30, 2021 | 1.29 Bn |
| Aug 31, 2021 | 1.60 Bn |
Tilray Brands Total Liabilities 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=total-liabilities&ticker=TLRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();