Skillsoft (SKIL) Total Liabilities (2019 - 2026)
Skillsoft (SKIL) recorded Total Liabilities of $859.81 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.2% from $926.97 million a year earlier and down 7.1% from the prior quarter.
Powered by 
Analysis
Skillsoft (SKIL) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Skillsoft reported Total Liabilities of $993.35 million, down 1.9% from FY2025.
- Annual Total Liabilities has declined for four straight fiscal years, with a four-year compound annual growth rate of -3.8% (FY2022 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $1.01 billion in FY2025 (-5.2%), $1.07 billion in FY2024 (-3.9%), $1.11 billion in FY2023 (-4.4%) and $1.16 billion in FY2022.
- The fiscal Q2 2027 figure is the lowest quarterly Total Liabilities in data going back to fiscal Q4 2022.
- On a year-over-year basis, Total Liabilities has declined for 15 consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 1.9% in fiscal Q4 2026 to 14.0% in fiscal Q2 2024.
- Per Business Quant, the preceding three fiscal quarters came in at $925.83 million (Q1 2027), $993.35 million (Q4 2026) and $893.59 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Skillsoft | 54.74 Mn | -319.83 Mn | 83.10 Mn | 859.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 859.81 Mn |
| Apr 30, 2026 | 925.83 Mn |
| Jan 31, 2026 | 993.35 Mn |
| Oct 31, 2025 | 893.59 Mn |
| Jul 31, 2025 | 926.97 Mn |
| Apr 30, 2025 | 959.84 Mn |
| Jan 31, 2025 | 1.01 Bn |
| Oct 31, 2024 | 933.05 Mn |
| Jul 31, 2024 | 984.97 Mn |
| Apr 30, 2024 | 998.73 Mn |
| Jan 31, 2024 | 1.07 Bn |
| Oct 31, 2023 | 985.02 Mn |
| Jul 31, 2023 | 1.02 Bn |
| Apr 30, 2023 | 1.05 Bn |
| Jan 31, 2023 | 1.11 Bn |
| Oct 31, 2022 | 1.02 Bn |
| Jul 31, 2022 | 1.18 Bn |
| Apr 30, 2022 | 1.20 Bn |
| Jan 31, 2022 | 1.16 Bn |
| Mar 31, 2021 | 806.90 Mn |
API Access
Skillsoft Total 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-liabilities&ticker=SKIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();