Skillsoft (SKIL) Shares Outstanding (2019 - 2026)
Skillsoft's Shares Outstanding came in at 8.99 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.9% from 8.57 million a year earlier and up 2.0% from the prior quarter.
Skillsoft (SKIL) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Skillsoft's Shares Outstanding was 8.59 million, up 4.8% from FY2025.
- Shares Outstanding has increased in each of the last four fiscal years, with a four-year compound annual growth rate of 6.6% (FY2022 to FY2026).
- Going back by fiscal year, Shares Outstanding was 8.2 million in FY2025 (+1.8%), 8.05 million in FY2024 (+1.4%), 7.94 million in FY2023 (+19.3%) and 6.66 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Shares Outstanding in data going back to fiscal Q4 2022.
- Year-over-year, Shares Outstanding has increased for nine consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q4 2023 (growth of 19.3%), and the weakest in fiscal Q2 2024 (a decline of 2.4%).
- Business Quant data shows SKIL's Shares Outstanding at 8.81 million (Q1 2027), 8.59 million (Q4 2026) and 8.71 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 46.70 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 404.10 Mn |
| 10 | Skillsoft | 52.20 Mn | -322.36 Mn | 83.10 Mn | 8.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.99 Mn |
| Apr 30, 2026 | 8.81 Mn |
| Jan 31, 2026 | 8.59 Mn |
| Oct 31, 2025 | 8.71 Mn |
| Jul 31, 2025 | 8.57 Mn |
| Apr 30, 2025 | 8.32 Mn |
| Jan 31, 2025 | 8.20 Mn |
| Oct 31, 2024 | 8.24 Mn |
| Jul 31, 2024 | 8.18 Mn |
| Apr 30, 2024 | 8.09 Mn |
| Jan 31, 2024 | 8.05 Mn |
| Oct 31, 2023 | 8.05 Mn |
| Jul 31, 2023 | 8.01 Mn |
| Apr 30, 2023 | 8.16 Mn |
| Jan 31, 2023 | 7.94 Mn |
| Oct 31, 2022 | 8.22 Mn |
| Jul 31, 2022 | 8.20 Mn |
| Apr 30, 2022 | 7.11 Mn |
| Jan 31, 2022 | 6.66 Mn |
| Jun 11, 2021 | 200,000.00 |
Skillsoft Shares Outstanding 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&ticker=SKIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();