Tilray Brands (TLRY) Asset Writedowns and Impairment (2017 - 2025)
Tilray Brands (TLRY) posted Asset Writedowns and Impairment of $1.4 billion for fiscal Q4 2025 (quarter ended May 31, 2025), up 99.8% from the prior quarter.
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Analysis
Tilray Brands (TLRY) Asset Writedowns and Impairment (2017 - 2025) Analysis & Trends
For FY2025 (ended May 31, 2025), Tilray Brands' Asset Writedowns and Impairment came in at $2.1 billion.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of 102.8% (FY2020 to FY2025).
- In prior fiscal years, Tilray Brands' Asset Writedowns and Impairment was $934 million in FY2023 (+146.9%), $378.24 million in FY2022 and $19.92 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 311.15 Bn | 290.80 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 130.16 Bn | 106.53 Bn | - |
| 3 | Altria | 124.18 Bn | 110.34 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.07 Bn | 1.67 Bn | 169.91 Mn |
| 5 | Trulieve Cannabis | 2.00 Bn | 619.27 Mn | 162.29 Mn |
| 6 | RLX Technology | 1.98 Bn | -1.79 Bn | 52.74 Mn |
| 7 | Green Thumb Industries | 1.41 Bn | 261.84 Mn | 137.87 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 384.85 Mn | 93.70 Mn |
| 9 | Cronos | 1.25 Bn | -2.03 Bn | 28.45 Mn |
| 10 | Tilray Brands | 376.01 Mn | -591.50 Mn | 77.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2025 | 1.40 Bn |
| Feb 28, 2025 | 699.24 Mn |
| May 31, 2023 | 1,000.00 |
| Feb 28, 2023 | 934.00 Mn |
| May 31, 2022 | 366.24 Mn |
| May 31, 2021 | 19.92 Mn |
| May 31, 2020 | -42.87 Mn |
| Mar 31, 2020 | 29.84 Mn |
| Dec 31, 2018 | 103,000.00 |
| Sep 30, 2018 | -422,000.00 |
| Jun 30, 2018 | 491,000.00 |
| Dec 31, 2017 | -1,000.00 |
| Sep 30, 2017 | 152,000.00 |
API Access
Tilray Brands Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();