Tilray Brands (TLRY) Inventory (2017 - 2026)
Tilray Brands (TLRY) recorded Inventory of $328.97 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 16.3% from $282.79 million a year earlier and up 9.2% from the prior quarter.
Tilray Brands (TLRY) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Tilray Brands reported Inventory of $301.19 million, up 11.2% from FY2025.
- Annual Inventory has increased for three straight fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $270.88 million in FY2025 (+7.5%), $252.09 million in FY2024 (+25.7%), $200.55 million in FY2023 (-18.3%) and $245.53 million in FY2022 (-4.3%).
- The fiscal Q1 2027 figure is the highest quarterly Inventory in data going back to fiscal Q4 2020.
- On a year-over-year basis, Inventory has increased for 12 consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 25.7% in fiscal Q4 2024, against a decline of 25.8% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $301.19 million (Q4 2026), $292.3 million (Q3 2026) and $283.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 307.66 Bn | 287.30 Bn | 7.66 Bn | 11.44 Bn |
| 2 | British American Tobacco p.l.c | 128.34 Bn | 104.71 Bn | - | 6.42 Bn |
| 3 | Altria | 123.48 Bn | 109.64 Bn | 3.82 Bn | 1.06 Bn |
| 4 | Trulieve Cannabis | 2.21 Bn | 827.40 Mn | 162.29 Mn | 186.87 Mn |
| 5 | Curaleaf Holdings | 2.14 Bn | 1.74 Bn | 169.91 Mn | 244.72 Mn |
| 6 | RLX Technology | 2.08 Bn | -1.69 Bn | 52.74 Mn | 61.35 Mn |
| 7 | Green Thumb Industries | 1.45 Bn | 297.21 Mn | 137.87 Mn | 180.98 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 383.46 Mn | 93.70 Mn | 133.43 Mn |
| 9 | Cronos | 1.26 Bn | -2.01 Bn | 28.45 Mn | 52.70 Mn |
| 10 | Tilray Brands | 400.34 Mn | -567.16 Mn | 77.51 Mn | 328.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 328.97 Mn |
| May 31, 2026 | 301.19 Mn |
| Feb 28, 2026 | 292.30 Mn |
| Nov 30, 2025 | 283.20 Mn |
| Aug 31, 2025 | 282.79 Mn |
| May 31, 2025 | 270.88 Mn |
| Feb 28, 2025 | 263.40 Mn |
| Nov 30, 2024 | 266.01 Mn |
| Aug 31, 2024 | 264.30 Mn |
| May 31, 2024 | 252.09 Mn |
| Feb 29, 2024 | 244.14 Mn |
| Nov 30, 2023 | 252.70 Mn |
| Aug 31, 2023 | 232.08 Mn |
| May 31, 2023 | 200.55 Mn |
| Feb 28, 2023 | 202.80 Mn |
| Nov 30, 2022 | 240.95 Mn |
| Aug 31, 2022 | 244.65 Mn |
| May 31, 2022 | 245.53 Mn |
| Feb 28, 2022 | 273.29 Mn |
| Nov 30, 2021 | 233.02 Mn |
Tilray Brands Inventory 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=inventory&ticker=TLRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();