Nbt Bancorp (NBTB) Wages, Salaries and Other (2009 - 2026)
Nbt Bancorp (NBTB) reported Wages, Salaries and Other of $69 million for Q2 2026, up 7.6% from $64.16 million a year earlier and up 0.4% from the prior quarter.
Nbt Bancorp (NBTB) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nbt Bancorp's Wages, Salaries and Other came in at $270.39 million, up 9.8% year-over-year; for FY2025, it was $257.48 million, up 10.7% from FY2024.
- Wages, Salaries and Other has increased for 16 consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $232.49 million in FY2024 (+19.7%), $194.25 million in FY2023 (+3.4%), $187.83 million in FY2022 (+8.8%) and $172.58 million in FY2021 (+6.6%).
- The Q2 2026 figure ranks as the highest quarterly Wages, Salaries and Other in data going back to Q2 2009.
- Year over year, Wages, Salaries and Other has now increased in each of the last 34 quarters, with growth averaging 13.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Wages, Salaries and Other ran from 0.3% in Q2 2023 to 23.5% in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $68.76 million (Q1 2026), $65.99 million (Q4 2025) and $66.64 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 | Nbt Bancorp | 2.68 Bn | 2.68 Bn | - | 69.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.00 Mn |
| Mar 31, 2026 | 68.76 Mn |
| Dec 31, 2025 | 65.99 Mn |
| Sep 30, 2025 | 66.64 Mn |
| Jun 30, 2025 | 64.16 Mn |
| Mar 31, 2025 | 60.69 Mn |
| Dec 31, 2024 | 61.75 Mn |
| Sep 30, 2024 | 59.64 Mn |
| Jun 30, 2024 | 55.39 Mn |
| Mar 31, 2024 | 55.70 Mn |
| Dec 31, 2023 | 50.01 Mn |
| Sep 30, 2023 | 49.25 Mn |
| Jun 30, 2023 | 46.83 Mn |
| Mar 31, 2023 | 48.16 Mn |
| Dec 31, 2022 | 47.24 Mn |
| Sep 30, 2022 | 48.37 Mn |
| Jun 30, 2022 | 46.72 Mn |
| Mar 31, 2022 | 45.51 Mn |
| Dec 31, 2021 | 44.12 Mn |
| Sep 30, 2021 | 44.19 Mn |
Nbt Bancorp 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=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "NBTB", "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=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();