Bank Of America (BAC) Tax Provisions (2009 - 2026)
Bank Of America (BAC) reported Tax Provisions of $2.49 billion for Q2 2026, up 66.3% from $1.5 billion a year earlier and up 36.9% from the prior quarter.
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Analysis
Bank Of America (BAC) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank Of America's Tax Provisions came in at $10.21 billion, up 25.5% year-over-year; for FY2025, it came in at $7.19 billion, up 15.0% from FY2024.
- Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- By year, Tax Provisions came in at $6.25 billion in FY2024 (+0.4%), $6.23 billion in FY2023 (+80.9%), $3.44 billion in FY2022 (+72.2%) and $2 billion in FY2021 (+81.5%).
- Five-year quarterly Tax Provisions spans a low of $293 million in Q3 2023 and a high of $4.91 billion in Q4 2025.
- Year over year, Tax Provisions has now increased in each of the last nine quarters, with growth averaging 71.3% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q4 2023 (growth of 472.3%); the low point was Q3 2023 (a decline of 76.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.82 billion (Q1 2026), $4.91 billion (Q4 2025) and $987 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 1.40 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 961.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 4.91 Bn |
| Sep 30, 2025 | 987.00 Mn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 4.57 Bn |
| Sep 30, 2024 | 428.00 Mn |
| Jun 30, 2024 | 663.00 Mn |
| Mar 31, 2024 | 588.00 Mn |
| Dec 31, 2023 | 4.38 Bn |
| Sep 30, 2023 | 293.00 Mn |
| Jun 30, 2023 | 626.00 Mn |
| Mar 31, 2023 | 928.00 Mn |
| Dec 31, 2022 | 765.00 Mn |
| Sep 30, 2022 | 1.22 Bn |
| Jun 30, 2022 | 645.00 Mn |
| Mar 31, 2022 | 812.00 Mn |
| Dec 31, 2021 | 805.00 Mn |
| Sep 30, 2021 | 1.26 Bn |
API Access
Bank Of America 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=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();