Nbt Bancorp (NBTB) Loans - Loss Allowance (2009 - 2026)
Nbt Bancorp's Loans - Loss Allowance was $140 million in Q3 2026, up 0.7% from $139 million a year earlier but down 0.4% from the prior quarter.
Nbt Bancorp (NBTB) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Nbt Bancorp came in at $138 million, up 19.0% from FY2024.
- Loans - Loss Allowance has now increased for four consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $116 million in FY2024 (+1.4%), $114.4 million in FY2023 (+13.5%), $100.8 million in FY2022 (+9.6%) and $92 million in FY2021 (-16.4%).
- Quarterly Loans - Loss Allowance has moved between $90 million (Q1 2022) and $140.5 million (Q2 2026) over five years.
- Compared with a year earlier, Loans - Loss Allowance has increased for 17 straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q2 2024 (growth of 20.0%); the worst was Q4 2021 (a decline of 16.4%).
- Per Business Quant data, NBTB's Loans - Loss Allowance in the three quarters before Q3 2026 was $140.5 million (Q2 2026), $138.6 million (Q1 2026) and $138 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.01 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | -5.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -7.49 Bn |
| 10 | Nbt Bancorp | 2.77 Bn | 2.49 Bn | - | 140.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140.00 Mn |
| Jun 30, 2026 | 140.50 Mn |
| Mar 31, 2026 | 138.60 Mn |
| Dec 31, 2025 | 138.00 Mn |
| Sep 30, 2025 | 139.00 Mn |
| Jun 30, 2025 | 140.20 Mn |
| Mar 31, 2025 | 117.00 Mn |
| Dec 31, 2024 | 116.00 Mn |
| Sep 30, 2024 | 119.50 Mn |
| Jun 30, 2024 | 120.50 Mn |
| Mar 31, 2024 | 115.30 Mn |
| Dec 31, 2023 | 114.40 Mn |
| Sep 30, 2023 | 114.60 Mn |
| Jun 30, 2023 | 100.40 Mn |
| Mar 31, 2023 | 100.25 Mn |
| Dec 31, 2022 | 100.80 Mn |
| Sep 30, 2022 | 96.80 Mn |
| Jun 30, 2022 | 93.60 Mn |
| Mar 31, 2022 | 90.00 Mn |
| Dec 31, 2021 | 92.00 Mn |
Nbt Bancorp Loans - Loss Allowance 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=loans-loss-allowance&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();