Old Second Bancorp (OSBC) Income After Tax (2009 - 2026)
Old Second Bancorp (OSBC) posted Income After Tax of $28.18 million for Q2 2026, up 29.1% from $21.82 million a year earlier and up 10.1% from the prior quarter.
Old Second Bancorp (OSBC) Income After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income After Tax at Old Second Bancorp was $92.42 million, up 10.4% year-over-year; for FY2025, it came in at $59.69 million, up 23.9% from FY2024.
- Annual Income After Tax shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Old Second Bancorp's Income After Tax was $48.18 million in FY2024 (-15.0%), $56.65 million in FY2023 (+78.3%), $31.77 million in FY2022 (+4.7%) and $30.36 million in FY2021 (-12.3%).
- Quarterly Income After Tax has run from a low of -$9.07 million in Q4 2021 to a high of $28.79 million in Q4 2025 over five years.
- On a year-over-year basis, Income After Tax has increased in each of the last three quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Income After Tax in the past five years was Q3 2022, with growth of 132.1%; the weakest was Q3 2025, with a decline of 57.0%.
- According to Business Quant data, Income After Tax for the three prior quarters was $25.59 million (Q1 2026), $28.79 million (Q4 2025) and $9.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Old Second Bancorp | 1.24 Bn | 748.21 Mn | - | 28.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.94 Mn |
| Jun 30, 2026 | 28.18 Mn |
| Mar 31, 2026 | 25.59 Mn |
| Dec 31, 2025 | 28.79 Mn |
| Sep 30, 2025 | 9.87 Mn |
| Jun 30, 2025 | 21.82 Mn |
| Mar 31, 2025 | 19.83 Mn |
| Dec 31, 2024 | 19.11 Mn |
| Sep 30, 2024 | 22.95 Mn |
| Jun 30, 2024 | 21.89 Mn |
| Mar 31, 2024 | 21.31 Mn |
| Dec 31, 2023 | 18.23 Mn |
| Sep 30, 2023 | 24.34 Mn |
| Jun 30, 2023 | 25.56 Mn |
| Mar 31, 2023 | 23.61 Mn |
| Dec 31, 2022 | 23.62 Mn |
| Sep 30, 2022 | 19.52 Mn |
| Jun 30, 2022 | 12.25 Mn |
| Mar 31, 2022 | 12.02 Mn |
| Dec 31, 2021 | -9.07 Mn |
Old Second Bancorp Income After Tax 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=profit-after-tax&ticker=OSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();