Mbia (MBI) Shares Outstanding (Diluted) (2009 - 2026)
Mbia (MBI) recorded Weighted Average Shares Outstanding (Diluted) of 50.3 million in Q3 2026, up 1.4% from 49.6 million a year earlier and up 0.2% from the prior quarter.
Mbia (MBI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Mbia reported Weighted Average Shares Outstanding (Diluted) of 49.3 million, up 3.9% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 47.44 million in FY2024 (-1.6%), 48.21 million in FY2023 (-3.2%), 49.8 million in FY2022 (+0.6%) and 49.5 million in FY2021 (-16.2%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2020.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 4.3% in Q2 2025, against a decline of 16.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 50.2 million (Q2 2026), 49.8 million (Q1 2026) and 49.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | - |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 389.37 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 582.20 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 479.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 210.60 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.71 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 259.40 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 213.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 255.30 Mn |
| 10 | Mbia | 243.87 Mn | -967.13 Mn | 13.00 Mn | 50.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.30 Mn |
| Jun 30, 2026 | 50.20 Mn |
| Mar 31, 2026 | 49.80 Mn |
| Dec 31, 2025 | 49.30 Mn |
| Sep 30, 2025 | 49.60 Mn |
| Jun 30, 2025 | 49.54 Mn |
| Mar 31, 2025 | 48.40 Mn |
| Dec 31, 2024 | 47.44 Mn |
| Sep 30, 2024 | 47.70 Mn |
| Jun 30, 2024 | 47.50 Mn |
| Mar 31, 2024 | 46.82 Mn |
| Dec 31, 2023 | 48.21 Mn |
| Sep 30, 2023 | 47.01 Mn |
| Jun 30, 2023 | 49.04 Mn |
| Mar 31, 2023 | 49.95 Mn |
| Dec 31, 2022 | 49.80 Mn |
| Sep 30, 2022 | 49.90 Mn |
| Jun 30, 2022 | 49.83 Mn |
| Mar 31, 2022 | 49.63 Mn |
| Dec 31, 2021 | 49.50 Mn |
Mbia 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=MBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MBI", "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=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();