German American Bancorp (GABC) Payables (2012 - 2026)
German American Bancorp (GABC) posted Payables of $63.64 million for 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) Payables (2012 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp's Payables came in at $54.03 million, up 29.8% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, German American Bancorp's 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 stands as the highest quarterly Payables in data going back to Q4 2012.
- On a year-over-year basis, Payables increased in five of the last eight quarters, with growth averaging 14.1%.
- The strongest year-over-year quarter for Payables in the past five years was Q3 2025, with growth of 36.9%; the weakest was Q1 2023, with a decline of 27.4%.
- According to Business Quant data, Payables for the three prior quarters 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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 456.72 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 3,434.24 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 59.98 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 | - | 386.30 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 236.30 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 89.91 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 107.90 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 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=payables&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();