Old Second Bancorp (OSBC) EBITDA Margin (2009 - 2026)
Old Second Bancorp (OSBC) posted EBITDA Margin of 60.67% for Q2 2026, up 3.87 percentage points from 56.80% a year earlier and up 2.93 percentage points from the prior quarter.
Old Second Bancorp (OSBC) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Old Second Bancorp was 55.42%, down 2.86 percentage points year-over-year; for FY2025, it came in at 53.24%, down 8.86 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +11.61 percentage points (FY2020 to FY2025).
- In prior years, Old Second Bancorp's EBITDA Margin was 62.10% in FY2024 (+2.19 pp), 59.90% in FY2023 (+16.35 pp), 43.56% in FY2022 (+14.06 pp) and 29.50% in FY2021 (-12.13 pp).
- Quarterly EBITDA Margin has run from a low of -20.83% in Q4 2021 to a high of 66.56% in Q3 2024 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of -2.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2022, with a gain of 71.71 percentage points; the weakest was Q4 2021, with a drop of 64.86 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 57.73% (Q1 2026), 64.53% (Q4 2025) and 38.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Old Second Bancorp | 1.24 Bn | 748.21 Mn | - | 61.87% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.87% |
| Jun 30, 2026 | 61.08% |
| Mar 31, 2026 | 58.24% |
| Dec 31, 2025 | 64.53% |
| Sep 30, 2025 | 38.84% |
| Jun 30, 2025 | 56.19% |
| Mar 31, 2025 | 54.39% |
| Dec 31, 2024 | 57.03% |
| Sep 30, 2024 | 67.36% |
| Jun 30, 2024 | 64.10% |
| Mar 31, 2024 | 63.80% |
| Dec 31, 2023 | 57.25% |
| Sep 30, 2023 | 63.49% |
| Jun 30, 2023 | 66.59% |
| Mar 31, 2023 | 56.77% |
| Dec 31, 2022 | 52.19% |
| Sep 30, 2022 | 47.13% |
| Jun 30, 2022 | 40.32% |
| Mar 31, 2022 | 40.41% |
| Dec 31, 2021 | -17.79% |
Old Second Bancorp EBITDA Margin 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-margin&ticker=OSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();