Nbt Bancorp (NBTB) Rent Expense (2009 - 2026)
Nbt Bancorp (NBTB) posted Rent Expense of $9.48 million for Q2 2026, up 4.8% from $9.04 million a year earlier but down 13.9% from the prior quarter.
Nbt Bancorp (NBTB) Rent Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Nbt Bancorp was $38.81 million, up 15.5% year-over-year; for FY2025, it came in at $36.39 million, up 16.2% from FY2024.
- Annual Rent Expense has increased for nine consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Nbt Bancorp's Rent Expense was $31.31 million in FY2024 (+10.2%), $28.41 million in FY2023 (+8.1%), $26.28 million in FY2022 (+0.9%) and $26.05 million in FY2021 (+1.1%).
- Quarterly Rent Expense has run from a low of $6.15 million in Q3 2021 to a high of $11.01 million in Q1 2026 over five years.
- On a year-over-year basis, Rent Expense has increased in each of the last 14 quarters, with growth averaging 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q1 2026, with growth of 22.0%; the weakest was Q4 2021, with a decline of 29.4%.
- According to Business Quant data, Rent Expense for the three prior quarters was $11.01 million (Q1 2026), $9.27 million (Q4 2025) and $9.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Nbt Bancorp | 2.61 Bn | 2.61 Bn | - | 9.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.48 Mn |
| Mar 31, 2026 | 11.01 Mn |
| Dec 31, 2025 | 9.27 Mn |
| Sep 30, 2025 | 9.05 Mn |
| Jun 30, 2025 | 9.04 Mn |
| Mar 31, 2025 | 9.03 Mn |
| Dec 31, 2024 | 7.79 Mn |
| Sep 30, 2024 | 7.75 Mn |
| Jun 30, 2024 | 7.67 Mn |
| Mar 31, 2024 | 8.10 Mn |
| Dec 31, 2023 | 7.18 Mn |
| Sep 30, 2023 | 7.09 Mn |
| Jun 30, 2023 | 6.92 Mn |
| Mar 31, 2023 | 7.22 Mn |
| Dec 31, 2022 | 6.52 Mn |
| Sep 30, 2022 | 6.48 Mn |
| Jun 30, 2022 | 6.49 Mn |
| Mar 31, 2022 | 6.79 Mn |
| Dec 31, 2021 | 6.64 Mn |
| Sep 30, 2021 | 6.15 Mn |
Nbt Bancorp Rent Expense 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=rent-expense&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();