Norwood Financial (NWFL) Wages, Salaries and Other (2009 - 2026)
Norwood Financial (NWFL) reported Wages, Salaries and Other of $8.27 million for Q3 2026, up 23.6% from $6.7 million a year earlier but down 4.6% from the prior quarter.
Norwood Financial (NWFL) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Norwood Financial's Wages, Salaries and Other came in at $32.65 million, up 23.4% year-over-year; for FY2025, it came in at $26.93 million, up 7.6% from FY2024.
- Wages, Salaries and Other has increased for ten consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $25.02 million in FY2024 (+6.2%), $23.57 million in FY2023 (+6.8%), $22.07 million in FY2022 (+7.1%) and $20.61 million in FY2021 (+20.4%).
- Five-year quarterly Wages, Salaries and Other spans a low of $4.99 million in Q4 2021 and a high of $8.67 million in Q2 2026.
- Year over year, Wages, Salaries and Other has now increased in each of the last 13 quarters, with growth averaging 17.0% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q1 2026 (growth of 32.1%); the low point was Q4 2021 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $8.67 million (Q2 2026), $8.55 million (Q1 2026) and $7.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.12 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.75 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Norwood Financial | 398.63 Mn | 118.80 Mn | - | 8.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.27 Mn |
| Jun 30, 2026 | 8.67 Mn |
| Mar 31, 2026 | 8.55 Mn |
| Dec 31, 2025 | 7.16 Mn |
| Sep 30, 2025 | 6.70 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 6.47 Mn |
| Dec 31, 2024 | 6.69 Mn |
| Sep 30, 2024 | 6.24 Mn |
| Jun 30, 2024 | 5.95 Mn |
| Mar 31, 2024 | 6.14 Mn |
| Dec 31, 2023 | 5.67 Mn |
| Sep 30, 2023 | 6.08 Mn |
| Jun 30, 2023 | 5.84 Mn |
| Mar 31, 2023 | 5.97 Mn |
| Dec 31, 2022 | 5.25 Mn |
| Sep 30, 2022 | 5.55 Mn |
| Jun 30, 2022 | 5.84 Mn |
| Mar 31, 2022 | 5.43 Mn |
| Dec 31, 2021 | 4.99 Mn |
Norwood Financial 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=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "NWFL", "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=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();