Tilray Brands (TLRY) Return on Capital Employed [ROCE] (2018 - 2026)
Tilray Brands (TLRY) reported Return on Capital Employed [ROCE] of -3.42% for fiscal Q4 2026 (quarter ended May 31, 2026), up 78.07 percentage points from the prior quarter.
Tilray Brands (TLRY) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
Dating back to fiscal Q4 2020, Tilray Brands' Return on Capital Employed [ROCE] record includes 19 quarters.
- Return on Capital Employed [ROCE] has a five-year change of +0.86 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at -79.60% in FY2025 (-75.19 pp), -4.41% in FY2024 (+26.40 pp), -30.81% in FY2023 (-19.63 pp) and -11.19% in FY2022 (-6.90 pp).
- The fiscal Q4 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2020.
- Year over year, Return on Capital Employed [ROCE] gained in two of the last four quarters, with an average year-over-year change of -43.64 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q3 2024 (a gain of 32.92 percentage points); the low point was fiscal Q1 2026 (a drop of 119.44 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -81.49% (Q3 2026), -121.45% (Q2 2026) and -123.92% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn | 38.19% |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn | 41.87% |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn | 0.77% |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 3.58% |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn | -11.88% |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn | 4.47% |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn | -0.22% |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn | 10.34% |
| 10 | Tilray Brands | 475.38 Mn | -555.03 Mn | 90.52 Mn | -3.42% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -3.42% |
| Feb 28, 2026 | -81.49% |
| Nov 30, 2025 | -121.45% |
| Aug 31, 2025 | -123.92% |
| Nov 30, 2024 | -4.49% |
| Aug 31, 2024 | -4.48% |
| May 31, 2024 | -4.46% |
| Feb 29, 2024 | -6.30% |
| Nov 30, 2023 | -34.57% |
| Aug 31, 2023 | -36.22% |
| May 31, 2023 | -35.04% |
| Feb 28, 2023 | -39.21% |
| Nov 30, 2022 | -10.94% |
| Aug 31, 2022 | -10.71% |
| May 31, 2022 | -11.40% |
| Feb 28, 2022 | -3.93% |
| Nov 30, 2021 | -4.00% |
| Aug 31, 2021 | -3.52% |
| May 31, 2020 | -19.54% |
| Mar 31, 2020 | -33.24% |
Tilray Brands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TLRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();