German American Bancorp (GABC) Accounts Payables (2012 - 2026)
German American Bancorp's Accounts Payables was $63.64 million in Q2 2026, up 18.0% from $53.92 million a year earlier and up 10.2% from the prior quarter.
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Analysis
German American Bancorp (GABC) Accounts Payables (2012 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at German American Bancorp came in at $54.03 million, up 29.8% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $41.64 million in FY2024 (-0.2%), $41.74 million in FY2023 (-4.6%), $43.74 million in FY2022 (+0.4%) and $43.58 million in FY2021 (-15.9%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables in data going back to Q4 2012.
- Compared with a year earlier, Accounts Payables was higher in five of the last eight quarters, with growth averaging 14.1%.
- The best year-over-year quarter for Accounts Payables over five years was Q3 2025 (growth of 36.9%); the worst was Q1 2023 (a decline of 27.4%).
- Per Business Quant data, GABC's Accounts Payables in the three quarters before Q2 2026 was $57.73 million (Q1 2026), $54.03 million (Q4 2025) and $56.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 384.29 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 11.02 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 229.33 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 82.73 Bn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 63.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.64 Mn |
| Mar 31, 2026 | 57.73 Mn |
| Dec 31, 2025 | 54.03 Mn |
| Sep 30, 2025 | 56.01 Mn |
| Jun 30, 2025 | 53.92 Mn |
| Mar 31, 2025 | 59.22 Mn |
| Dec 31, 2024 | 41.64 Mn |
| Sep 30, 2024 | 40.91 Mn |
| Jun 30, 2024 | 48.90 Mn |
| Mar 31, 2024 | 45.52 Mn |
| Dec 31, 2023 | 41.74 Mn |
| Sep 30, 2023 | 45.21 Mn |
| Jun 30, 2023 | 43.52 Mn |
| Mar 31, 2023 | 45.64 Mn |
| Dec 31, 2022 | 43.74 Mn |
| Sep 30, 2022 | 44.85 Mn |
| Jun 30, 2022 | 38.78 Mn |
| Mar 31, 2022 | 62.86 Mn |
| Dec 31, 2021 | 43.58 Mn |
| Sep 30, 2021 | 46.27 Mn |
API Access
German American Bancorp Accounts Payables 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=accounts-payables&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "GABC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();