Old Second Bancorp (OSBC) EBITDA (2010 - 2026)
Old Second Bancorp (OSBC) posted EBITDA of $58.6 million for Q2 2026, up 37.3% from $42.67 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Old Second Bancorp (OSBC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Old Second Bancorp was $211.42 million, up 24.0% year-over-year; for FY2025, it was $180.66 million, up 1.9% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 27.7% (FY2020 to FY2025).
- In prior years, Old Second Bancorp's EBITDA was $177.26 million in FY2024 (+3.4%), $171.39 million in FY2023 (+57.9%), $108.58 million in FY2022 (+170.7%) and $40.11 million in FY2021 (-24.5%).
- Quarterly EBITDA has run from a low of -$8.19 million in Q4 2021 to a high of $61.44 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 12.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 129.5%; the weakest was Q3 2025, with a decline of 21.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $54.14 million (Q1 2026), $61.44 million (Q4 2025) and $37.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Old Second Bancorp | 1.27 Bn | 766.22 Mn | - | 58.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.60 Mn |
| Mar 31, 2026 | 54.14 Mn |
| Dec 31, 2025 | 61.44 Mn |
| Sep 30, 2025 | 37.24 Mn |
| Jun 30, 2025 | 42.67 Mn |
| Mar 31, 2025 | 39.31 Mn |
| Dec 31, 2024 | 41.21 Mn |
| Sep 30, 2024 | 47.36 Mn |
| Jun 30, 2024 | 44.67 Mn |
| Mar 31, 2024 | 44.02 Mn |
| Dec 31, 2023 | 39.24 Mn |
| Sep 30, 2023 | 45.41 Mn |
| Jun 30, 2023 | 46.99 Mn |
| Mar 31, 2023 | 39.76 Mn |
| Dec 31, 2022 | 37.16 Mn |
| Sep 30, 2022 | 30.65 Mn |
| Jun 30, 2022 | 20.48 Mn |
| Mar 31, 2022 | 20.29 Mn |
| Dec 31, 2021 | -8.19 Mn |
| Sep 30, 2021 | 14.37 Mn |
API Access
Old Second Bancorp EBITDA 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=ebitda&ticker=OSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();