LSEB Creative (LSEB) Return on Capital Employed [ROCE] (2022 - 2025)
LSEB Creative's Return on Capital Employed [ROCE] came in at -495.93% for fiscal Q2 2026 (quarter ended Sep 30, 2025), down 133.37 percentage points from -362.56% a year earlier and down 97.34 percentage points from the prior quarter.
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Analysis
LSEB Creative (LSEB) Return on Capital Employed [ROCE] (2022 - 2025) Analysis & Trends
For FY2025 (ended Mar 31, 2025), LSEB Creative's Return on Capital Employed [ROCE] was -823.15%, down 571.52 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of -597.15 percentage points (FY2022 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -251.63% in FY2024 (+119.07 pp), -370.70% in FY2023 (-144.69 pp) and -226.01% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -690.67% (fiscal Q4 2025) to -153.98% (fiscal Q2 2024).
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -145.30 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q2 2024 (a gain of 357.49 percentage points), and the weakest in fiscal Q4 2025 (a drop of 432.76 percentage points).
- Business Quant data shows LSEB's Return on Capital Employed [ROCE] at -398.59% (Q1 2026), -690.67% (Q4 2025) and -392.54% (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | LSEB Creative | 7.21 Mn | 7.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -495.93% |
| Jun 30, 2025 | -398.59% |
| Mar 31, 2025 | -690.67% |
| Dec 31, 2024 | -392.54% |
| Sep 30, 2024 | -362.56% |
| Jun 30, 2024 | -510.89% |
| Mar 31, 2024 | -257.91% |
| Dec 31, 2023 | -184.39% |
| Sep 30, 2023 | -153.98% |
| Jun 30, 2023 | -156.09% |
| Mar 31, 2023 | -251.12% |
| Dec 31, 2022 | -254.16% |
| Sep 30, 2022 | -511.46% |
| Jun 30, 2022 | -397.91% |
| Mar 31, 2022 | -181.84% |
API Access
LSEB Creative 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=LSEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LSEB", "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=LSEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();