Skillsoft (SKIL) Depreciation and Depletion (2021 - 2026)
Skillsoft (SKIL) reported Depreciation and Depletion of $316,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.0% from $336,000 a year earlier and down 7.9% from the prior quarter.
Skillsoft (SKIL) Depreciation and Depletion (2021 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Skillsoft's Depreciation and Depletion came in at $981,000, unchanged year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $628,000, down 9.4% from FY2025.
- Depreciation and Depletion has declined for three consecutive fiscal years, with a four-year compound annual growth rate of -37.8% (FY2022 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $693,000 in FY2025 (-79.0%), $3.3 million in FY2024 (-34.0%), $5 million in FY2023 (+19.0%) and $4.2 million in FY2022.
- Five-year quarterly Depreciation and Depletion spans a low of -$323,000 in fiscal Q4 2023 and a high of $2.53 million in fiscal Q1 2023.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q2 2026 (growth of 89.8%); the low point was fiscal Q3 2025 (a decline of 88.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $343,000 (Q1 2027), $160,000 (Q4 2026) and $162,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.36 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Skillsoft | 52.02 Mn | -322.55 Mn | 83.10 Mn | 316,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 316,000.00 |
| Apr 30, 2026 | 343,000.00 |
| Jan 31, 2026 | 160,000.00 |
| Oct 31, 2025 | 162,000.00 |
| Jul 31, 2025 | 336,000.00 |
| Apr 30, 2025 | 320,000.00 |
| Jan 31, 2025 | 202,000.00 |
| Oct 31, 2024 | 123,000.00 |
| Jul 31, 2024 | 177,000.00 |
| Apr 30, 2024 | 191,000.00 |
| Jan 31, 2024 | 700,000.00 |
| Oct 31, 2023 | 1.10 Mn |
| Jul 31, 2023 | 1.10 Mn |
| Apr 30, 2023 | 1.20 Mn |
| Jan 31, 2023 | -323,000.00 |
| Oct 31, 2022 | 1.43 Mn |
| Apr 30, 2022 | 2.53 Mn |
| Jun 11, 2021 | 1.80 Mn |
Skillsoft Depreciation and Depletion 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=depreciation-and-depletion&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();