Tilray Brands (TLRY) Return on Sales [ROS] (2017 - 2026)
Tilray Brands' Return on Sales [ROS] was -5.84% in fiscal Q4 2026 (quarter ended May 31, 2026), up 637.26 percentage points from -643.10% a year earlier and up 6.92 percentage points from the prior quarter.
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Analysis
Tilray Brands (TLRY) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Return on Sales [ROS] at Tilray Brands came in at -6.88%, up 271.05 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +18.88 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -277.93% in FY2025 (-255.79 pp), -22.15% in FY2024 (+196.26 pp), -218.41% in FY2023 (-121.27 pp) and -97.14% in FY2022 (-71.38 pp).
- Quarterly Return on Sales [ROS] has moved between -828.86% (fiscal Q3 2023) and 1.00% (fiscal Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +7.99 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2024 (a gain of 785.27 percentage points); the worst was fiscal Q3 2023 (a drop of 816.96 percentage points).
- Per Business Quant data, TLRY's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -12.76% (Q3 2026), -10.24% (Q2 2026) and 1.00% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn | 40.48% |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn | 51.32% |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn | 1.24% |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 12.86% |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn | -136.75% |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn | 6.51% |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn | 10.49% |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn | 11.69% |
| 10 | Tilray Brands | 475.38 Mn | -555.03 Mn | 90.52 Mn | -5.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -5.84% |
| Feb 28, 2026 | -12.76% |
| Nov 30, 2025 | -10.24% |
| Aug 31, 2025 | 1.00% |
| May 31, 2025 | -643.10% |
| Feb 28, 2025 | -409.05% |
| Nov 30, 2024 | -20.01% |
| Aug 31, 2024 | -18.28% |
| May 31, 2024 | -7.19% |
| Feb 29, 2024 | -43.59% |
| Nov 30, 2023 | -21.55% |
| Aug 31, 2023 | -19.42% |
| May 31, 2023 | -48.85% |
| Feb 28, 2023 | -828.86% |
| Nov 30, 2022 | -35.93% |
| Aug 31, 2022 | -13.82% |
| May 31, 2022 | -304.86% |
| Feb 28, 2022 | -11.90% |
| Nov 30, 2021 | -35.79% |
| Aug 31, 2021 | -41.29% |
API Access
Tilray Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();