Onfolio Holdings (ONFO) Shares Outstanding (Diluted) (2021 - 2026)
Onfolio Holdings (ONFO) recorded Weighted Average Shares Outstanding (Diluted) of 131,207 in Q2 2026, up 27.9% from 102,548 a year earlier and up 11.9% from the prior quarter.
Onfolio Holdings (ONFO) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Onfolio Holdings reported Weighted Average Shares Outstanding (Diluted) of 105,207, up 2.8% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a four-year compound annual growth rate of 6.0% (FY2021 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 102,359 in FY2024 (+0.2%), 102,148 in FY2023 (-22.3%), 131,437 in FY2022 (+57.9%) and 83,229 in FY2021.
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q3 2023.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for three consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 117.1% in Q1 2023, against a decline of 50.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 117,264 (Q1 2026), 105,207 (Q4 2025) and 102,548 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.00 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 403.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.84 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Onfolio Holdings | 75,208.70 | -3.59 Mn | 732,003.00 | 131,207.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131,207.00 |
| Mar 31, 2026 | 117,264.00 |
| Dec 31, 2025 | 105,207.00 |
| Sep 30, 2025 | 102,548.00 |
| Jun 30, 2025 | 102,548.00 |
| Mar 31, 2025 | 102,548.00 |
| Dec 31, 2024 | 102,359.00 |
| Sep 30, 2024 | 102,548.00 |
| Jun 30, 2024 | 102,187.00 |
| Mar 31, 2024 | 102,148.00 |
| Dec 31, 2023 | 102,148.00 |
| Sep 30, 2023 | 204,408.00 |
| Jun 30, 2023 | 204,408.00 |
| Mar 31, 2023 | 204,408.00 |
| Dec 31, 2022 | 131,437.00 |
| Sep 30, 2022 | 131,374.00 |
| Jun 30, 2022 | 94,202.00 |
| Mar 31, 2022 | 94,162.00 |
| Dec 31, 2021 | 83,229.00 |
Onfolio Holdings 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=ONFO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ONFO", "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=ONFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();