Skkynet Cloud Systems (SKKY) Shares Outstanding (Diluted) (2015 - 2026)
Skkynet Cloud Systems' Shares Outstanding (Diluted) was 53.14 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), unchanged from 53.14 million a year earlier and unchanged from the prior quarter.
Skkynet Cloud Systems (SKKY) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Shares Outstanding (Diluted) at Skkynet Cloud Systems came in at 59.77 million, down 2.4% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding (Diluted) was 61.22 million in FY2024 (+15.2%), 53.14 million in FY2023 (-9.7%), 58.83 million in FY2022 (+14.1%) and 51.58 million in FY2021 (+1.4%).
- Quarterly Shares Outstanding (Diluted) has moved between 51.58 million (fiscal Q4 2021) and 61.76 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q4 2024 (growth of 15.2%); the worst was fiscal Q1 2026 (a decline of 13.9%).
- Per Business Quant data, SKKY's Shares Outstanding (Diluted) in the three fiscal quarters before Q3 2026 was 53.14 million (Q2 2026), 53.14 million (Q1 2026) and 59.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 1.84 Bn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Skkynet Cloud Systems | 23.91 Mn | 18.17 Mn | - | 53.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 53.14 Mn |
| Apr 30, 2026 | 53.14 Mn |
| Jan 31, 2026 | 53.14 Mn |
| Oct 31, 2025 | 59.77 Mn |
| Jul 31, 2025 | 53.14 Mn |
| Apr 30, 2025 | 53.14 Mn |
| Jan 31, 2025 | 61.76 Mn |
| Oct 31, 2024 | 61.22 Mn |
| Jul 31, 2024 | 61.22 Mn |
| Apr 30, 2024 | 53.14 Mn |
| Jan 31, 2024 | 61.22 Mn |
| Oct 31, 2023 | 53.14 Mn |
| Jul 31, 2023 | 60.01 Mn |
| Apr 30, 2023 | 53.14 Mn |
| Jan 31, 2023 | 53.14 Mn |
| Oct 31, 2022 | 58.83 Mn |
| Jul 31, 2022 | 59.09 Mn |
| Apr 30, 2022 | 51.58 Mn |
| Jan 31, 2022 | 51.58 Mn |
| Oct 30, 2021 | 51.58 Mn |
Skkynet Cloud Systems Shares Outstanding (Diluted) 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-diluted&ticker=SKKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SKKY", "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-diluted&ticker=SKKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();