Two Harbors Investment (TWOD) Weighted Average Shares Outstanding (2009 - 2026)
Two Harbors Investment's Weighted Average Shares Outstanding was 104.94 million in Q2 2026, up 0.8% from 104.08 million a year earlier and up 0.1% from the prior quarter.
Two Harbors Investment (TWOD) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Two Harbors Investment came in at 104.11 million, up 0.5% from FY2024.
- Weighted Average Shares Outstanding has now increased for three consecutive years, though with a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 103.56 million in FY2024 (+8.2%), 95.67 million in FY2023 (+11.0%), 86.18 million in FY2022 (-71.1%) and 297.77 million in FY2021 (+8.8%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding since Q2 2022.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 12 straight quarters, with growth averaging 2.5% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q2 2022 (growth of 25.8%); the worst was Q1 2023 (a decline of 73.1%).
- Per Business Quant data, TWOD's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 104.88 million (Q1 2026), 104.11 million (Q4 2025) and 104.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.05 Bn | 9.77 Bn | 12.74 Bn |
| 2 | Rocket Companies | 38.89 Bn | 38.89 Bn | - |
| 3 | Federal National Mortgage Association Fannie Mae | 29.69 Bn | 29.69 Bn | - |
| 4 | Royalty Pharma | 29.66 Bn | 26.62 Bn | - |
| 5 | Affirm Holdings | 24.82 Bn | 18.51 Bn | - |
| 6 | Synchrony Financial | 24.44 Bn | -43.18 Bn | - |
| 7 | Royal Gold | 20.08 Bn | 19.25 Bn | 390.45 Mn |
| 8 | Federal Home Loan Mortgage | 15.14 Bn | 15.14 Bn | - |
| 9 | Annaly Capital Management | 14.11 Bn | 5.07 Bn | - |
| 10 | Two Harbors Investment | 2.66 Bn | -70.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.94 Mn |
| Mar 31, 2026 | 104.88 Mn |
| Dec 31, 2025 | 104.11 Mn |
| Sep 30, 2025 | 104.14 Mn |
| Jun 30, 2025 | 104.08 Mn |
| Mar 31, 2025 | 103.98 Mn |
| Dec 31, 2024 | 103.56 Mn |
| Sep 30, 2024 | 103.64 Mn |
| Jun 30, 2024 | 103.56 Mn |
| Mar 31, 2024 | 103.40 Mn |
| Dec 31, 2023 | 95.67 Mn |
| Sep 30, 2023 | 96.18 Mn |
| Jun 30, 2023 | 96.39 Mn |
| Mar 31, 2023 | 92.58 Mn |
| Dec 31, 2022 | 86.18 Mn |
| Sep 30, 2022 | 86.25 Mn |
| Jun 30, 2022 | 344.28 Mn |
| Mar 31, 2022 | 344.00 Mn |
| Dec 31, 2021 | 297.77 Mn |
| Sep 30, 2021 | 307.77 Mn |
Two Harbors Investment Weighted Average 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=weighted-average-shares-outstanding&ticker=TWOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "TWOD", "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&ticker=TWOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();