Skillsoft (SKIL) Shares Outstanding (Entity) (2019 - 2026)
Skillsoft (SKIL) recorded Shares Outstanding (Entity) of 9.06 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.5% from 8.67 million a year earlier and up 2.6% from the prior quarter.
Skillsoft (SKIL) Shares Outstanding (Entity) (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Skillsoft reported Shares Outstanding (Entity) of 8.8 million, up 5.8% from FY2025.
- Annual Shares Outstanding (Entity) has a four-year compound annual growth rate of 7.2% (FY2022 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 8.32 million in FY2025 (+2.9%), 8.08 million in FY2024 (-1.2%), 8.18 million in FY2023 (+22.8%) and 6.66 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q4 2022.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for nine consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 22.8% in fiscal Q4 2023, against a decline of 2.2% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 8.84 million (Q1 2027), 8.8 million (Q4 2026) and 8.75 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 161.91 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 585.29 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 577.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 110.72 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 93.53 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.20 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.30 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 405.20 Mn |
| 10 | Skillsoft | 52.20 Mn | -322.36 Mn | 83.10 Mn | 9.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.06 Mn |
| Apr 30, 2026 | 8.84 Mn |
| Jan 31, 2026 | 8.80 Mn |
| Oct 31, 2025 | 8.75 Mn |
| Jul 31, 2025 | 8.67 Mn |
| Apr 30, 2025 | 8.35 Mn |
| Jan 31, 2025 | 8.32 Mn |
| Oct 31, 2024 | 8.28 Mn |
| Jul 31, 2024 | 8.38 Mn |
| Apr 30, 2024 | 8.09 Mn |
| Jan 31, 2024 | 8.08 Mn |
| Oct 31, 2023 | 8.06 Mn |
| Jul 31, 2023 | 8.32 Mn |
| Apr 30, 2023 | 8.28 Mn |
| Jan 31, 2023 | 8.18 Mn |
| Oct 31, 2022 | 8.25 Mn |
| Jul 31, 2022 | 8.22 Mn |
| Apr 30, 2022 | 8.19 Mn |
| Jan 31, 2022 | 6.66 Mn |
| Jun 11, 2021 | 200,000.00 |
Skillsoft Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();