Skillsoft (SKIL) Return on Assets [ROA] (2020 - 2026)
Skillsoft's Return on Assets [ROA] came in at -20.19% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 8.49 percentage points from -11.70% a year earlier and down 4.23 percentage points from the prior quarter.
Skillsoft (SKIL) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Skillsoft's Return on Assets [ROA] was -13.51%, down 3.27 percentage points from FY2025.
- Return on Assets [ROA] carries a four-year change of -10.31 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -10.25% in FY2025 (+13.71 pp), -23.95% in FY2024 (+13.56 pp), -37.52% in FY2023 (-34.32 pp) and -3.20% in FY2022.
- The fiscal Q2 2027 figure represents the lowest quarterly Return on Assets [ROA] since fiscal Q3 2025.
- Year-over-year, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of +3.47 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q3 2024 (a gain of 26.16 percentage points), and the weakest in fiscal Q1 2024 (a drop of 42.61 percentage points).
- Business Quant data shows SKIL's Return on Assets [ROA] at -15.96% (Q1 2027), -15.03% (Q4 2026) and -14.38% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -10,997.11% |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 11.16% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 3.36% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 15.49% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 18.75% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 19.88% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | -1.19% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 29.22% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 0.73% |
| 10 | Skillsoft | 50.48 Mn | -324.09 Mn | 83.10 Mn | -20.19% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -20.19% |
| Apr 30, 2026 | -15.96% |
| Jan 31, 2026 | -15.03% |
| Oct 31, 2025 | -14.38% |
| Jul 31, 2025 | -11.70% |
| Apr 30, 2025 | -12.43% |
| Jan 31, 2025 | -11.29% |
| Oct 31, 2024 | -30.84% |
| Jul 31, 2024 | -29.50% |
| Apr 30, 2024 | -27.11% |
| Jan 31, 2024 | -25.89% |
| Oct 31, 2023 | -10.85% |
| Jul 31, 2023 | -43.60% |
| Apr 30, 2023 | -46.97% |
| Jan 31, 2023 | -44.78% |
| Oct 31, 2022 | -37.08% |
| Jul 31, 2022 | -6.38% |
| Apr 30, 2022 | -4.43% |
| Mar 31, 2021 | -4.60% |
| Dec 31, 2020 | -11.83% |
Skillsoft Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();