Banner (BANR) Wages, Salaries and Other (2010 - 2026)
Banner's Wages, Salaries and Other came in at $69.39 million for Q2 2026, up 6.0% from $65.49 million a year earlier and up 2.4% from the prior quarter.
Banner (BANR) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Banner reported Wages, Salaries and Other of $267.48 million, up 5.0% year-over-year; for FY2025, it was $260.71 million, up 4.1% from FY2024.
- Wages, Salaries and Other has increased in each of the last three years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $250.56 million in FY2024 (+2.5%), $244.56 million in FY2023 (+0.9%), $242.27 million in FY2022 (-0.9%) and $244.35 million in FY2021 (-0.4%).
- The Q2 2026 figure represents the highest quarterly Wages, Salaries and Other in data going back to Q2 2010.
- Year-over-year, Wages, Salaries and Other has increased for ten consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in Q2 2026 (growth of 6.0%), and the weakest in Q1 2022 (a decline of 8.2%).
- Business Quant data shows BANR's Wages, Salaries and Other at $67.73 million (Q1 2026), $65.43 million (Q4 2025) and $64.94 million (Q3 2025) in the three quarters before Q2 2026.
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 | Banner | 2.31 Bn | 336.70 Mn | - | 69.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.39 Mn |
| Mar 31, 2026 | 67.73 Mn |
| Dec 31, 2025 | 65.43 Mn |
| Sep 30, 2025 | 64.94 Mn |
| Jun 30, 2025 | 65.49 Mn |
| Mar 31, 2025 | 64.86 Mn |
| Dec 31, 2024 | 62.52 Mn |
| Sep 30, 2024 | 61.83 Mn |
| Jun 30, 2024 | 63.83 Mn |
| Mar 31, 2024 | 62.37 Mn |
| Dec 31, 2023 | 60.11 Mn |
| Sep 30, 2023 | 61.09 Mn |
| Jun 30, 2023 | 61.97 Mn |
| Mar 31, 2023 | 61.39 Mn |
| Dec 31, 2022 | 60.31 Mn |
| Sep 30, 2022 | 61.64 Mn |
| Jun 30, 2022 | 60.83 Mn |
| Mar 31, 2022 | 59.49 Mn |
| Dec 31, 2021 | 57.80 Mn |
| Sep 30, 2021 | 59.80 Mn |
Banner 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=BANR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "BANR", "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=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();