Skillsoft (SKIL) Other Operating Expenses (2019 - 2026)
Skillsoft (SKIL) recorded Other Operating Expenses of $62.78 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 17.7% from $76.25 million a year earlier and down 13.3% from the prior quarter.
Skillsoft (SKIL) Other Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Skillsoft's Other Operating Expenses came in at $375.07 million as of Jul 31, 2026, up 2.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $448.57 million, up 4.5% from FY2025.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 11.9% (FY2022 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $429.22 million in FY2025 (-37.2%), $683.95 million in FY2024 (-40.5%), $1.15 billion in FY2023 (+301.3%) and $286.34 million in FY2022.
- The fiscal Q2 2027 figure is the lowest quarterly Other Operating Expenses in data going back to fiscal Q1 2023.
- On a year-over-year basis, Other Operating Expenses rose in two of the last eight quarters, with an average decline of 16.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 139.5% in fiscal Q4 2024, against a decline of 82.9% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $72.41 million (Q1 2027), $115.66 million (Q4 2026) and $124.21 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Skillsoft | 52.20 Mn | -322.36 Mn | 83.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 62.78 Mn |
| Apr 30, 2026 | 72.41 Mn |
| Jan 31, 2026 | 115.66 Mn |
| Oct 31, 2025 | 124.21 Mn |
| Jul 31, 2025 | 76.25 Mn |
| Apr 30, 2025 | 76.89 Mn |
| Jan 31, 2025 | 106.83 Mn |
| Oct 31, 2024 | 106.68 Mn |
| Jul 31, 2024 | 105.86 Mn |
| Apr 30, 2024 | 109.31 Mn |
| Jan 31, 2024 | 320.00 Mn |
| Oct 31, 2023 | 119.52 Mn |
| Jul 31, 2023 | 121.04 Mn |
| Apr 30, 2023 | 123.39 Mn |
| Jan 31, 2023 | 133.61 Mn |
| Oct 31, 2022 | 697.67 Mn |
| Jul 31, 2022 | 200.97 Mn |
| Apr 30, 2022 | 130.40 Mn |
| Jun 11, 2021 | 102.36 Mn |
| Mar 31, 2021 | 1.58 Mn |
Skillsoft Other Operating Expenses 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=other-operating-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();