Tilray Brands (TLRY) Accumulated Expenses (2017 - 2026)
Tilray Brands (TLRY) reported Accumulated Expenses of $130.46 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 4.0% from $135.91 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Tilray Brands (TLRY) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Tilray Brands posted Accumulated Expenses of $135.91 million, up 31.6% from FY2025.
- Accumulated Expenses has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 24.0% (FY2022 to FY2026).
- By fiscal year, Accumulated Expenses came in at $103.26 million in FY2025 (+11.7%), $92.42 million in FY2024 (+18.5%), $78.01 million in FY2023 (+35.7%) and $57.5 million in FY2022.
- Five-year quarterly Accumulated Expenses spans a low of $57.5 million in fiscal Q4 2022 and a high of $135.91 million in fiscal Q4 2026.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 12.9%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2024 (growth of 106.2%); the low point was fiscal Q1 2025 (a decline of 29.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $135.91 million (Q4 2026), $70.34 million (Q3 2026) and $82.52 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 314.47 Bn | 296.03 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 139.83 Bn | 116.49 Bn | - |
| 3 | Altria | 127.02 Bn | 113.22 Bn | 3.82 Bn |
| 4 | RLX Technology | 2.54 Bn | -1.21 Bn | 52.74 Mn |
| 5 | Verano Holdings | 2.20 Bn | 1.87 Bn | 99.70 Mn |
| 6 | Curaleaf Holdings | 2.13 Bn | 1.73 Bn | 169.91 Mn |
| 7 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn |
| 8 | Turning Point Brands | 1.34 Bn | 472.27 Mn | 93.70 Mn |
| 9 | Cronos | 1.28 Bn | -1.95 Bn | 28.45 Mn |
| 10 | Tilray Brands | 433.02 Mn | -551.17 Mn | 77.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 131.98 Mn |
| May 31, 2026 | 139.16 Mn |
| Feb 28, 2026 | 72.79 Mn |
| Nov 30, 2025 | 86.39 Mn |
| Aug 31, 2025 | 139.16 Mn |
| May 31, 2025 | 107.45 Mn |
| Feb 28, 2025 | 92.08 Mn |
| Nov 30, 2024 | 93.03 Mn |
| Aug 31, 2024 | 94.26 Mn |
| May 31, 2024 | 96.64 Mn |
| Feb 29, 2024 | 73.95 Mn |
| Nov 30, 2023 | 84.00 Mn |
| Aug 31, 2023 | 136.49 Mn |
| May 31, 2023 | 86.11 Mn |
| Feb 28, 2023 | 72.11 Mn |
| Nov 30, 2022 | 70.80 Mn |
| Aug 31, 2022 | 66.24 Mn |
| May 31, 2022 | 64.27 Mn |
| Mar 31, 2021 | 60.46 Mn |
| Mar 31, 2020 | 47.03 Mn |
API Access
Tilray Brands Accumulated 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=accumulated-expenses&ticker=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();