Old Second Bancorp (OSBC) Shares Outstanding (Diluted) (2011 - 2026)
Old Second Bancorp (OSBC) reported Shares Outstanding (Diluted) of 52.12 million for Q2 2026, up 13.7% from 45.84 million a year earlier but down 2.2% from the prior quarter.
Old Second Bancorp (OSBC) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Old Second Bancorp posted Shares Outstanding (Diluted) of 49.67 million, up 8.8% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 45.64 million in FY2024 (+0.5%), 45.4 million in FY2023 (+0.4%), 45.21 million in FY2022 (+47.1%) and 30.74 million in FY2021 (+1.9%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 29.23 million in Q3 2021 and a high of 53.51 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 19 quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2022 (growth of 54.7%); the low point was Q3 2021 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 53.3 million (Q1 2026), 49.67 million (Q4 2025) and 53.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Old Second Bancorp | 1.25 Bn | 747.89 Mn | - | 52.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.12 Mn |
| Mar 31, 2026 | 53.30 Mn |
| Dec 31, 2025 | 49.67 Mn |
| Sep 30, 2025 | 53.51 Mn |
| Jun 30, 2025 | 45.84 Mn |
| Mar 31, 2025 | 45.72 Mn |
| Dec 31, 2024 | 45.64 Mn |
| Sep 30, 2024 | 45.68 Mn |
| Jun 30, 2024 | 45.68 Mn |
| Mar 31, 2024 | 45.52 Mn |
| Dec 31, 2023 | 45.40 Mn |
| Sep 30, 2023 | 45.43 Mn |
| Jun 30, 2023 | 45.42 Mn |
| Mar 31, 2023 | 45.32 Mn |
| Dec 31, 2022 | 45.21 Mn |
| Sep 30, 2022 | 45.22 Mn |
| Jun 30, 2022 | 45.25 Mn |
| Mar 31, 2022 | 45.16 Mn |
| Dec 31, 2021 | 30.74 Mn |
| Sep 30, 2021 | 29.23 Mn |
Old Second Bancorp 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=OSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "OSBC", "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=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();