Dime Commercial Bancshares (DCOM) Wages, Salaries and Other (2010 - 2026)
Dime Commercial Bancshares (DCOM) reported Wages, Salaries and Other of $39.3 million for Q3 2026, up 2.5% from $38.34 million a year earlier but down 1.2% from the prior quarter.
Dime Commercial Bancshares (DCOM) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Dime Commercial Bancshares' Wages, Salaries and Other came in at $159.45 million, up 9.2% year-over-year; for FY2025, it was $150.98 million, up 10.9% from FY2024.
- Wages, Salaries and Other has a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $136.11 million in FY2024 (+15.9%), $117.44 million in FY2023 (-2.2%), $120.11 million in FY2022 (+10.9%) and $108.33 million in FY2021 (+78.3%).
- Five-year quarterly Wages, Salaries and Other spans a low of $26.63 million in Q1 2023 and a high of $40.77 million in Q4 2025.
- Year over year, Wages, Salaries and Other has now increased in each of the last 11 quarters, with growth averaging 10.6% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q4 2021 (growth of 75.7%); the low point was Q1 2023 (a decline of 13.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $39.78 million (Q2 2026), $39.59 million (Q1 2026) and $40.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 14.77 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 10.97 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 4.51 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 8.00 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 5.12 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 8.75 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 2.57 Bn |
| 10 | Dime Commercial Bancshares | 1.83 Bn | 1.83 Bn | - | 39.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.30 Mn |
| Jun 30, 2026 | 39.78 Mn |
| Mar 31, 2026 | 39.59 Mn |
| Dec 31, 2025 | 40.77 Mn |
| Sep 30, 2025 | 38.34 Mn |
| Jun 30, 2025 | 36.22 Mn |
| Mar 31, 2025 | 35.65 Mn |
| Dec 31, 2024 | 35.76 Mn |
| Sep 30, 2024 | 36.13 Mn |
| Jun 30, 2024 | 32.18 Mn |
| Mar 31, 2024 | 32.04 Mn |
| Dec 31, 2023 | 30.38 Mn |
| Sep 30, 2023 | 30.52 Mn |
| Jun 30, 2023 | 29.90 Mn |
| Mar 31, 2023 | 26.63 Mn |
| Dec 31, 2022 | 31.63 Mn |
| Sep 30, 2022 | 29.19 Mn |
| Jun 30, 2022 | 28.45 Mn |
| Mar 31, 2022 | 30.83 Mn |
| Dec 31, 2021 | 27.64 Mn |
Dime Commercial Bancshares 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=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "DCOM", "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=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();