Bank Of America (BAC-PP) Price to Earnings (2009 - 2026)
Bank Of America's (BAC-PP) Price to Earnings stood at 12.41 in Q3 2026, down 8.1% from 13.52 a year earlier and down 0.3% from the prior quarter.
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Analysis
Bank Of America (BAC-PP) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Bank Of America's Price to Earnings came in at 13.65, up 3.4% from FY2024.
- Annual Price to Earnings has increased for three straight years.
- Across earlier years, Price to Earnings came in at 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%).
- Quarterly Price to Earnings has ranged from 7.50 in Q3 2023 to 14.04 in Q3 2024 over the past five years.
- On a year-over-year basis, Price to Earnings has declined for three consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 87.2% in Q3 2024, against a decline of 30.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.45 (Q2 2026), 11.49 (Q1 2026) and 13.65 (Q4 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.41 |
| Jun 30, 2026 | 12.45 |
| Mar 31, 2026 | 11.49 |
| Dec 31, 2025 | 13.65 |
| Sep 30, 2025 | 13.52 |
| 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 |
API Access
Bank Of America 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=BAC-PP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BAC-PP", "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=BAC-PP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();