Skillsoft (SKIL) Return on Capital Employed [ROCE] (2020 - 2026)
Skillsoft's Return on Capital Employed [ROCE] came in at -11.41% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.14 percentage points from -6.27% a year earlier but up 1.03 percentage points from the prior quarter.
Skillsoft (SKIL) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Skillsoft's Return on Capital Employed [ROCE] was -13.61%, down 5.04 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a four-year change of -7.55 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -8.56% in FY2025 (+20.97 pp), -29.53% in FY2024 (+23.82 pp), -53.35% in FY2023 (-47.29 pp) and -6.06% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -67.35% (fiscal Q4 2023) to -4.52% (fiscal Q1 2023).
- Year-over-year, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +8.15 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2024 (a gain of 39.12 percentage points), and the weakest in fiscal Q1 2024 (a drop of 60.73 percentage points).
- Business Quant data shows SKIL's Return on Capital Employed [ROCE] at -12.43% (Q1 2027), -13.89% (Q4 2026) and -10.44% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Skillsoft | 52.02 Mn | -322.55 Mn | 83.10 Mn | -11.41% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -11.41% |
| Apr 30, 2026 | -12.43% |
| Jan 31, 2026 | -13.89% |
| Oct 31, 2025 | -10.44% |
| Jul 31, 2025 | -6.27% |
| Apr 30, 2025 | -7.72% |
| Jan 31, 2025 | -9.91% |
| Oct 31, 2024 | -35.23% |
| Jul 31, 2024 | -35.88% |
| Apr 30, 2024 | -33.89% |
| Jan 31, 2024 | -32.97% |
| Oct 31, 2023 | -10.61% |
| Jul 31, 2023 | -60.80% |
| Apr 30, 2023 | -65.26% |
| Jan 31, 2023 | -67.35% |
| Oct 31, 2022 | -49.73% |
| Jul 31, 2022 | -10.29% |
| Apr 30, 2022 | -4.52% |
| Mar 31, 2021 | -0.31% |
| Dec 31, 2020 | -0.13% |
Skillsoft 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=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SKIL", "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=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();