Old National Bancorp (ONB) Tax Provisions (2009 - 2026)
Old National Bancorp (ONB) recorded Tax Provisions of $70.77 million in Q2 2026, up 133.6% from $30.3 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Old National Bancorp (ONB) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Old National Bancorp's Tax Provisions came in at $237.3 million as of Jun 30, 2026, up 68.6% year-over-year; for FY2025, it was $172.14 million, up 21.9% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 42.6% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $141.25 million in FY2024 (-16.6%), $169.31 million in FY2023 (+45.4%), $116.45 million in FY2022 (+89.9%) and $61.32 million in FY2021 (+110.4%).
- The Q2 2026 figure is the highest quarterly Tax Provisions in data going back to Q2 2009.
- On a year-over-year basis, Tax Provisions has increased for four consecutive quarters, with growth averaging 34.2% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 408.6% in Q4 2022, against a decline of 41.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.6 million (Q1 2026), $54.9 million (Q4 2025) and $50.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - | 70.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.77 Mn |
| Mar 31, 2026 | 61.60 Mn |
| Dec 31, 2025 | 54.90 Mn |
| Sep 30, 2025 | 50.03 Mn |
| Jun 30, 2025 | 30.30 Mn |
| Mar 31, 2025 | 36.90 Mn |
| Dec 31, 2024 | 32.23 Mn |
| Sep 30, 2024 | 41.28 Mn |
| Jun 30, 2024 | 35.25 Mn |
| Mar 31, 2024 | 32.49 Mn |
| Dec 31, 2023 | 36.19 Mn |
| Sep 30, 2023 | 44.30 Mn |
| Jun 30, 2023 | 47.39 Mn |
| Mar 31, 2023 | 41.42 Mn |
| Dec 31, 2022 | 61.31 Mn |
| Sep 30, 2022 | 38.89 Mn |
| Jun 30, 2022 | 24.96 Mn |
| Mar 31, 2022 | -8.71 Mn |
| Dec 31, 2021 | 12.05 Mn |
| Sep 30, 2021 | 17.68 Mn |
API Access
Old National Bancorp Tax Provisions 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=tax-provisions&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ONB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();