Skillsoft (SKIL) Research & Development (2021 - 2026)
Skillsoft (SKIL) posted Research & Development of $11.64 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 14.3% from $13.58 million a year earlier and down 10.9% from the prior quarter.
Skillsoft (SKIL) Research & Development (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Research & Development at Skillsoft was $51.89 million, down 9.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $55.63 million, down 8.4% from FY2025.
- Annual Research & Development has declined for three consecutive fiscal years, though with a four-year compound annual growth rate of 16.1% (FY2022 to FY2026).
- In prior fiscal years, Skillsoft's Research & Development was $60.76 million in FY2025 (-10.7%), $68.03 million in FY2024 (-2.5%), $69.8 million in FY2023 (+128.3%) and $30.57 million in FY2022.
- The fiscal Q2 2027 figure stands as the lowest quarterly Research & Development in data going back to fiscal Q1 2023.
- On a year-over-year basis, Research & Development has declined in each of the last ten quarters, with an average decline of 9.7% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q1 2024, with growth of 4.3%; the weakest was fiscal Q2 2025, with a decline of 16.1%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $13.05 million (Q1 2027), $13.42 million (Q4 2026) and $13.79 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Skillsoft | 54.74 Mn | -319.83 Mn | 83.10 Mn | 11.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.64 Mn |
| Apr 30, 2026 | 13.05 Mn |
| Jan 31, 2026 | 13.42 Mn |
| Oct 31, 2025 | 13.79 Mn |
| Jul 31, 2025 | 13.58 Mn |
| Apr 30, 2025 | 13.32 Mn |
| Jan 31, 2025 | 15.32 Mn |
| Oct 31, 2024 | 14.94 Mn |
| Jul 31, 2024 | 14.99 Mn |
| Apr 30, 2024 | 15.51 Mn |
| Jan 31, 2024 | 17.01 Mn |
| Oct 31, 2023 | 16.13 Mn |
| Jul 31, 2023 | 17.86 Mn |
| Apr 30, 2023 | 17.04 Mn |
| Jan 31, 2023 | 16.52 Mn |
| Oct 31, 2022 | 17.25 Mn |
| Jul 31, 2022 | 19.69 Mn |
| Apr 30, 2022 | 16.33 Mn |
| Jun 11, 2021 | 15.01 Mn |
Skillsoft Research & Development 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=research-and-development&ticker=SKIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();