Onity (ONIT) Weighted Average Shares Outstanding (Diluted) (2009 - 2026)
Onity's Weighted Average Shares Outstanding (Diluted) came in at 8.57 million for Q3 2026, down 1.7% from 8.72 million a year earlier but up 1.5% from the prior quarter.
Onity (ONIT) Weighted Average Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Onity's Weighted Average Shares Outstanding (Diluted) was 8.64 million, up 6.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 8.09 million in FY2024 (+5.9%), 7.64 million in FY2023 (-15.1%), 9 million in FY2022 (-4.1%) and 9.38 million in FY2021 (+7.2%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 7.53 million (Q1 2023) to 9.66 million (Q1 2022).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 4.7%.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 8.8%), and the weakest in Q1 2023 (a decline of 22.0%).
- Business Quant data shows ONIT's Weighted Average Shares Outstanding (Diluted) at 8.45 million (Q2 2026), 8.98 million (Q1 2026) and 8.64 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - |
| 10 | Onity | 230.75 Mn | -504.85 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.57 Mn |
| Jun 30, 2026 | 8.45 Mn |
| Mar 31, 2026 | 8.98 Mn |
| Dec 31, 2025 | 8.64 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 8.53 Mn |
| Mar 31, 2025 | 8.44 Mn |
| Dec 31, 2024 | 8.09 Mn |
| Sep 30, 2024 | 8.06 Mn |
| Jun 30, 2024 | 7.92 Mn |
| Mar 31, 2024 | 8.05 Mn |
| Dec 31, 2023 | 7.64 Mn |
| Sep 30, 2023 | 8.06 Mn |
| Jun 30, 2023 | 7.92 Mn |
| Mar 31, 2023 | 7.53 Mn |
| Dec 31, 2022 | 9.00 Mn |
| Sep 30, 2022 | 8.87 Mn |
| Jun 30, 2022 | 9.37 Mn |
| Mar 31, 2022 | 9.66 Mn |
| Dec 31, 2021 | 9.38 Mn |
Onity Weighted Average 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=weighted-average-shares-outstanding-diluted&ticker=ONIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "ticker": "ONIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding-diluted&ticker=ONIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();