Skillsoft (SKIL) Total Non-Current Liabilities (2019 - 2026)
Skillsoft's Total Non-Current Liabilities was $614.61 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.5% from $630.11 million a year earlier but up 0.4% from the prior quarter.
Skillsoft (SKIL) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Skillsoft came in at $616.4 million, down 3.0% from FY2025.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, with a four-year compound annual growth rate of 0.0% (FY2022 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $635.24 million in FY2025 (-3.0%), $654.82 million in FY2024 (-4.5%), $685.82 million in FY2023 (+11.3%) and $616.33 million in FY2022.
- Quarterly Total Non-Current Liabilities has moved between $611.92 million (fiscal Q1 2027) and $754.74 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 14 straight quarters, with an average decline of 2.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2023 (growth of 11.3%); the worst was fiscal Q1 2024 (a decline of 10.3%).
- Per Business Quant data, SKIL's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $611.92 million (Q1 2027), $616.4 million (Q4 2026) and $620.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Skillsoft | 52.20 Mn | -322.36 Mn | 83.10 Mn | 614.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 614.61 Mn |
| Apr 30, 2026 | 611.92 Mn |
| Jan 31, 2026 | 616.40 Mn |
| Oct 31, 2025 | 620.60 Mn |
| Jul 31, 2025 | 630.11 Mn |
| Apr 30, 2025 | 634.92 Mn |
| Jan 31, 2025 | 635.24 Mn |
| Oct 31, 2024 | 639.05 Mn |
| Jul 31, 2024 | 642.58 Mn |
| Apr 30, 2024 | 647.93 Mn |
| Jan 31, 2024 | 654.82 Mn |
| Oct 31, 2023 | 664.42 Mn |
| Jul 31, 2023 | 671.75 Mn |
| Apr 30, 2023 | 676.81 Mn |
| Jan 31, 2023 | 685.82 Mn |
| Oct 31, 2022 | 692.10 Mn |
| Jul 31, 2022 | 722.28 Mn |
| Apr 30, 2022 | 754.74 Mn |
| Jan 31, 2022 | 616.33 Mn |
| Mar 31, 2021 | 721.85 Mn |
Skillsoft Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();