Skillsoft (SKIL) Return on Sales [ROS] (2021 - 2026)
Skillsoft (SKIL) reported Return on Sales [ROS] of 3.43% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 9.46 percentage points from -6.03% a year earlier and up 12.22 percentage points from the prior quarter.
Skillsoft (SKIL) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Skillsoft's Return on Sales [ROS] came in at -14.24%, down 4.94 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -17.46%, down 4.34 percentage points from FY2025.
- Return on Sales [ROS] has a four-year change of -1.68 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -13.11% in FY2025 (+42.67 pp), -55.78% in FY2024 (+89.07 pp), -144.85% in FY2023 (-129.08 pp) and -15.77% in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2023.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +20.27 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2024 (a gain of 422.39 percentage points); the low point was fiscal Q4 2024 (a drop of 137.74 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -8.78% (Q1 2027), -19.25% (Q4 2026) and -26.61% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Skillsoft | 52.02 Mn | -322.55 Mn | 83.10 Mn | 3.43% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.43% |
| Apr 30, 2026 | -8.78% |
| Jan 31, 2026 | -19.25% |
| Oct 31, 2025 | -26.61% |
| Jul 31, 2025 | -6.03% |
| Apr 30, 2025 | -11.36% |
| Jan 31, 2025 | -12.92% |
| Oct 31, 2024 | -6.69% |
| Jul 31, 2024 | -14.62% |
| Apr 30, 2024 | -18.65% |
| Jan 31, 2024 | -165.82% |
| Oct 31, 2023 | -14.30% |
| Jul 31, 2023 | -17.92% |
| Apr 30, 2023 | -26.10% |
| Jan 31, 2023 | -28.08% |
| Oct 31, 2022 | -436.69% |
| Jul 31, 2022 | -78.81% |
| Apr 30, 2022 | -33.55% |
| Jun 11, 2021 | -37.07% |
Skillsoft 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=SKIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();