Skillsoft (SKIL) Non Operating Interest Expenses (2021 - 2026)
Skillsoft (SKIL) reported Non Operating Interest Expenses of $14.24 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.8% from $14.96 million a year earlier but up 3.6% from the prior quarter.
Skillsoft (SKIL) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Skillsoft's Non Operating Interest Expenses came in at $57.1 million, down 5.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $58.47 million, down 7.9% from FY2025.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 26.0% (FY2022 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $63.52 million in FY2025 (-2.8%), $65.34 million in FY2024 (+22.1%), $53.49 million in FY2023 (+130.7%) and $23.19 million in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of $11.47 million in fiscal Q2 2023 and a high of $16.65 million in fiscal Q4 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last eight quarters, with an average decline of 6.8% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2024 (growth of 41.7%); the low point was fiscal Q1 2026 (a decline of 11.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $13.75 million (Q1 2027), $14.36 million (Q4 2026) and $14.76 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 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 | 14.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.24 Mn |
| Apr 30, 2026 | 13.75 Mn |
| Jan 31, 2026 | 14.36 Mn |
| Oct 31, 2025 | 14.76 Mn |
| Jul 31, 2025 | 14.96 Mn |
| Apr 30, 2025 | 14.40 Mn |
| Jan 31, 2025 | 14.98 Mn |
| Oct 31, 2024 | 15.85 Mn |
| Jul 31, 2024 | 16.42 Mn |
| Apr 30, 2024 | 16.28 Mn |
| Jan 31, 2024 | 16.65 Mn |
| Oct 31, 2023 | 16.49 Mn |
| Jul 31, 2023 | 16.26 Mn |
| Apr 30, 2023 | 15.94 Mn |
| Jan 31, 2023 | 15.95 Mn |
| Oct 31, 2022 | 14.56 Mn |
| Jul 31, 2022 | 11.47 Mn |
| Apr 30, 2022 | 11.51 Mn |
| Jun 11, 2021 | 16.76 Mn |
Skillsoft Non Operating Interest 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=non-operating-interest-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();