Nbt Bancorp (NBTB) Cash Due from Bank (2009 - 2026)
Nbt Bancorp's Cash Due from Bank was $187.16 million in Q2 2026, down 29.3% from $264.78 million a year earlier but up 23.5% from the prior quarter.
Nbt Bancorp (NBTB) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash Due from Bank at Nbt Bancorp came in at $185.16 million, down 9.7% from FY2024.
- Cash Due from Bank shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Cash Due from Bank was $205.08 million in FY2024 (+18.0%), $173.81 million in FY2023 (+4.4%), $166.49 million in FY2022 (+5.5%) and $157.78 million in FY2021 (-1.4%).
- Quarterly Cash Due from Bank has moved between $151.56 million (Q1 2026) and $264.78 million (Q2 2025) over five years.
- Compared with a year earlier, Cash Due from Bank has declined for four straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for Cash Due from Bank over five years was Q2 2025 (growth of 53.7%); the worst was Q1 2026 (a decline of 30.1%).
- Per Business Quant data, NBTB's Cash Due from Bank in the three quarters before Q2 2026 was $151.56 million (Q1 2026), $185.16 million (Q4 2025) and $245.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.16 Bn |
| 10 | Nbt Bancorp | 2.68 Bn | 2.68 Bn | - | 187.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.16 Mn |
| Mar 31, 2026 | 151.56 Mn |
| Dec 31, 2025 | 185.16 Mn |
| Sep 30, 2025 | 245.76 Mn |
| Jun 30, 2025 | 264.78 Mn |
| Mar 31, 2025 | 216.70 Mn |
| Dec 31, 2024 | 205.08 Mn |
| Sep 30, 2024 | 250.79 Mn |
| Jun 30, 2024 | 172.31 Mn |
| Mar 31, 2024 | 162.46 Mn |
| Dec 31, 2023 | 173.81 Mn |
| Sep 30, 2023 | 213.36 Mn |
| Jun 30, 2023 | 170.01 Mn |
| Mar 31, 2023 | 161.75 Mn |
| Dec 31, 2022 | 166.49 Mn |
| Sep 30, 2022 | 223.76 Mn |
| Jun 30, 2022 | 195.02 Mn |
| Mar 31, 2022 | 180.87 Mn |
| Dec 31, 2021 | 157.78 Mn |
| Sep 30, 2021 | 215.03 Mn |
Nbt Bancorp Cash Due from Bank 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=cash-due-from-bank&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();