Bank Of America (BAC-PP) EPS (Diluted) (2009 - 2026)
Bank Of America's EPS (Diluted) was $0.90 in Q3 2026, down 13.5% from $1.04 a year earlier and down 25.2% from the prior quarter.
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Analysis
Bank Of America (BAC-PP) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of America's EPS (Diluted) was $4.22 through Sep 30, 2026, up 15.0% year-over-year; for FY2025, it came in at $3.78, up 18.4% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $3.19 in FY2024 (+4.7%), $3.05 in FY2023 (-4.2%), $3.19 in FY2022 (-10.8%) and $3.57 in FY2021 (+90.7%).
- The Q3 2026 figure marks the lowest quarterly EPS (Diluted) since Q1 2025.
- Compared with a year earlier, EPS (Diluted) was higher in seven of the last eight quarters, with growth averaging 32.5%.
- The best year-over-year quarter for EPS (Diluted) over five years was Q4 2024 (growth of 141.8%); the worst was Q4 2023 (a decline of 61.5%).
- Per Business Quant data, BAC-PP's EPS (Diluted) in the three quarters before Q3 2026 was $1.20 (Q2 2026), $1.10 (Q1 2026) and $0.95 (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.90 |
| Jun 30, 2026 | 1.20 |
| Mar 31, 2026 | 1.10 |
| Dec 31, 2025 | 0.95 |
| Sep 30, 2025 | 1.04 |
| Jun 30, 2025 | 0.90 |
| Mar 31, 2025 | 0.89 |
| Dec 31, 2024 | 0.79 |
| Sep 30, 2024 | 0.81 |
| Jun 30, 2024 | 0.83 |
| Mar 31, 2024 | 0.76 |
| Dec 31, 2023 | 0.33 |
| Sep 30, 2023 | 0.90 |
| Jun 30, 2023 | 0.88 |
| Mar 31, 2023 | 0.94 |
| Dec 31, 2022 | 0.85 |
| Sep 30, 2022 | 0.81 |
| Jun 30, 2022 | 0.73 |
| Mar 31, 2022 | 0.80 |
| Dec 31, 2021 | 0.79 |
API Access
Bank Of America EPS (Diluted) 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=eps-diluted&ticker=BAC-PP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BAC-PP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();