Old Second Bancorp (OSBC) Cash Due from Bank (2010 - 2026)
Old Second Bancorp (OSBC) reported Cash Due from Bank of $47.96 million for Q2 2026, down 24.4% from $63.48 million a year earlier and down 0.3% from the prior quarter.
Old Second Bancorp (OSBC) Cash Due from Bank (2010 - 2026) Analysis & Trends
At the end of FY2025, Old Second Bancorp posted Cash Due from Bank of $51.67 million, down 1.0% from FY2024.
- Cash Due from Bank has declined for three consecutive years, though with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, Cash Due from Bank came in at $52.18 million in FY2024 (-6.0%), $55.53 million in FY2023 (-1.9%), $56.63 million in FY2022 (+46.8%) and $38.57 million in FY2021 (+58.7%).
- The Q2 2026 figure ranks as the lowest quarterly Cash Due from Bank since Q1 2022.
- Year over year, Cash Due from Bank has now declined in each of the last four quarters, with an average decline of 2.3% over the last eight quarters.
- The high point for year-over-year Cash Due from Bank in five years was Q3 2022 (growth of 143.0%); the low point was Q2 2026 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.1 million (Q1 2026), $51.67 million (Q4 2025) and $53.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 42.16 Bn |
| 10 | Old Second Bancorp | 1.25 Bn | 755.02 Mn | - | 47.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.96 Mn |
| Mar 31, 2026 | 48.10 Mn |
| Dec 31, 2025 | 51.67 Mn |
| Sep 30, 2025 | 53.10 Mn |
| Jun 30, 2025 | 63.48 Mn |
| Mar 31, 2025 | 52.70 Mn |
| Dec 31, 2024 | 52.18 Mn |
| Sep 30, 2024 | 63.30 Mn |
| Jun 30, 2024 | 54.89 Mn |
| Mar 31, 2024 | 48.84 Mn |
| Dec 31, 2023 | 55.53 Mn |
| Sep 30, 2023 | 55.55 Mn |
| Jun 30, 2023 | 59.47 Mn |
| Mar 31, 2023 | 50.86 Mn |
| Dec 31, 2022 | 56.63 Mn |
| Sep 30, 2022 | 64.90 Mn |
| Jun 30, 2022 | 53.30 Mn |
| Mar 31, 2022 | 41.51 Mn |
| Dec 31, 2021 | 38.57 Mn |
| Sep 30, 2021 | 26.71 Mn |
Old Second Bancorp Cash Due from Bank 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=cash-due-from-bank&ticker=OSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();