Bank Of America (BAC) Tax Provisions (2009 - 2026)
Bank Of America (BAC) reported Tax Provisions of $2.03 billion for Q3 2026, down 2.0% from $2.08 billion a year earlier and down 18.3% from the prior quarter.
Bank Of America (BAC) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Bank Of America's Tax Provisions came in at $8.32 billion, down 14.9% 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 $4.57 billion in Q4 2024.
- Year over year, Tax Provisions gained in six of the last eight quarters, with growth averaging 89.1%.
- 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 Q3 2026 came in at $2.49 billion (Q2 2026), $1.82 billion (Q1 2026) and $1.98 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 1.71 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 1.13 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.16 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 819.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.03 Bn |
| Jun 30, 2026 | 2.49 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.98 Bn |
| Sep 30, 2025 | 2.08 Bn |
| 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 |
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_KEY
import 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();