Bank Of America (BAC) Wages, Salaries and Other (2009 - 2026)
Bank Of America (BAC) recorded Wages, Salaries and Other of $10.99 billion in Q2 2026, up 6.3% from $10.33 billion a year earlier but down 3.1% from the prior quarter.
Bank Of America (BAC) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a TTM basis, Bank Of America's Wages, Salaries and Other came in at $43.45 billion as of Jun 30, 2026, up 5.0% year-over-year; for FY2025, it was $42.35 billion, up 5.4% from FY2024.
- Annual Wages, Salaries and Other has increased for seven straight years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $40.18 billion in FY2024 (+4.8%), $38.33 billion in FY2023 (+5.2%), $36.45 billion in FY2022 (+0.8%) and $36.14 billion in FY2021 (+10.4%).
- Quarterly Wages, Salaries and Other has ranged from $8.71 billion in Q3 2021 to $11.33 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Wages, Salaries and Other has increased for 17 consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 10.3% in Q4 2021, against a decline of 2.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.33 billion (Q1 2026), $10.6 billion (Q4 2025) and $10.52 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 2.34 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.99 Bn |
| Mar 31, 2026 | 11.33 Bn |
| Dec 31, 2025 | 10.60 Bn |
| Sep 30, 2025 | 10.52 Bn |
| Jun 30, 2025 | 10.33 Bn |
| Mar 31, 2025 | 10.89 Bn |
| Dec 31, 2024 | 10.25 Bn |
| Sep 30, 2024 | 9.92 Bn |
| Jun 30, 2024 | 9.83 Bn |
| Mar 31, 2024 | 10.20 Bn |
| Dec 31, 2023 | 9.46 Bn |
| Sep 30, 2023 | 9.55 Bn |
| Jun 30, 2023 | 9.40 Bn |
| Mar 31, 2023 | 9.92 Bn |
| Dec 31, 2022 | 9.16 Bn |
| Sep 30, 2022 | 8.89 Bn |
| Jun 30, 2022 | 8.92 Bn |
| Mar 31, 2022 | 9.48 Bn |
| Dec 31, 2021 | 9.04 Bn |
| Sep 30, 2021 | 8.71 Bn |
Bank Of America Wages, Salaries and Other 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=wages-salaries-and-other&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();