Fnb (FNB) Wages, Salaries and Other (2009 - 2026)
Fnb (FNB) reported Wages, Salaries and Other of $135 million for Q2 2026, up 3.8% from $130 million a year earlier but down 0.7% from the prior quarter.
Fnb (FNB) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fnb's Wages, Salaries and Other came in at $536 million, up 3.3% year-over-year; for FY2025, it was $530 million, up 5.2% from FY2024.
- Wages, Salaries and Other has increased for 15 consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $504 million in FY2024 (+9.1%), $462 million in FY2023 (+8.5%), $426 million in FY2022 (+1.9%) and $418 million in FY2021 (+3.0%).
- Five-year quarterly Wages, Salaries and Other spans a low of $103 million in Q4 2022 and a high of $136 million in Q1 2026.
- Year over year, Wages, Salaries and Other has now increased in each of the last 14 quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q4 2024 (growth of 12.3%); the low point was Q4 2021 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $136 million (Q1 2026), $134 million (Q4 2025) and $131 million (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 | Fnb | 6.16 Bn | -3.79 Bn | - | 135.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.00 Mn |
| Mar 31, 2026 | 136.00 Mn |
| Dec 31, 2025 | 134.00 Mn |
| Sep 30, 2025 | 131.00 Mn |
| Jun 30, 2025 | 130.00 Mn |
| Mar 31, 2025 | 135.00 Mn |
| Dec 31, 2024 | 128.00 Mn |
| Sep 30, 2024 | 126.00 Mn |
| Jun 30, 2024 | 121.00 Mn |
| Mar 31, 2024 | 129.00 Mn |
| Dec 31, 2023 | 114.00 Mn |
| Sep 30, 2023 | 114.00 Mn |
| Jun 30, 2023 | 114.00 Mn |
| Mar 31, 2023 | 120.00 Mn |
| Dec 31, 2022 | 103.00 Mn |
| Sep 30, 2022 | 107.00 Mn |
| Jun 30, 2022 | 104.00 Mn |
| Mar 31, 2022 | 112.00 Mn |
| Dec 31, 2021 | 104.00 Mn |
| Sep 30, 2021 | 105.00 Mn |
Fnb 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=FNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();