Bank Of America Corp /De/ (BACRP) Price to Earnings (2009 - 2026)
Bank Of America's Price to Earnings came in at 12.44 for Q2 2026, down 6.5% from 13.30 a year earlier but up 8.4% from the prior quarter.
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Analysis
Bank Of America Corp /De/ (BACRP) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Bank Of America's Price to Earnings was 13.65, up 3.4% from FY2024.
- Price to Earnings has increased in each of the last three years.
- Going back by year, Price to Earnings was 13.20 in FY2024 (+22.4%), 10.78 in FY2023 (+5.9%), 10.18 in FY2022 (-13.4%) and 11.76 in FY2021 (-26.1%).
- The five-year range for quarterly Price to Earnings is 7.50 (Q3 2023) to 14.04 (Q3 2024).
- Year-over-year, Price to Earnings increased in three of the last eight quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2024 (growth of 87.2%), and the weakest in Q1 2022 (a decline of 30.8%).
- Business Quant data shows BACRP's Price to Earnings at 11.48 (Q1 2026), 13.64 (Q4 2025) and 13.45 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.44 |
| Mar 31, 2026 | 11.48 |
| Dec 31, 2025 | 13.64 |
| Sep 30, 2025 | 13.45 |
| Jun 30, 2025 | 13.30 |
| Mar 31, 2025 | 12.06 |
| Dec 31, 2024 | 13.20 |
| Sep 30, 2024 | 14.04 |
| Jun 30, 2024 | 13.67 |
| Mar 31, 2024 | 12.89 |
| Dec 31, 2023 | 10.78 |
| Sep 30, 2023 | 7.50 |
| Jun 30, 2023 | 8.08 |
| Mar 31, 2023 | 8.42 |
| Dec 31, 2022 | 10.18 |
| Sep 30, 2022 | 9.36 |
| Jun 30, 2022 | 9.42 |
| Mar 31, 2022 | 11.23 |
| Dec 31, 2021 | 11.76 |
| Sep 30, 2021 | 12.07 |
API Access
Bank Of America Corp /De/ Price to Earnings 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=price-to-earnings&ticker=BACRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BACRP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=BACRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();