Nbt Bancorp (NBTB) Amortization - Intangibles (2009 - 2026)
Nbt Bancorp (NBTB) recorded Amortization - Intangibles of $3.19 million in Q2 2026, up 4.9% from $3.04 million a year earlier but down 4.7% from the prior quarter.
Nbt Bancorp (NBTB) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Nbt Bancorp's Amortization - Intangibles came in at $13.33 million as of Jun 30, 2026, up 43.4% year-over-year; for FY2025, it came in at $11.94 million, up 41.5% from FY2024.
- Annual Amortization - Intangibles has increased for three straight years, with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $8.44 million in FY2024 (+78.3%), $4.73 million in FY2023 (+105.8%), $2.3 million in FY2022 (-18.1%) and $2.81 million in FY2021 (-17.4%).
- Quarterly Amortization - Intangibles has ranged from $458,000 in Q2 2023 to $3.43 million in Q3 2025 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has increased for five consecutive quarters, with growth averaging 32.1% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 365.7% in Q2 2024, against a decline of 22.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.35 million (Q1 2026), $3.36 million (Q4 2025) and $3.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Nbt Bancorp | 2.61 Bn | 2.61 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.19 Mn |
| Mar 31, 2026 | 3.35 Mn |
| Dec 31, 2025 | 3.36 Mn |
| Sep 30, 2025 | 3.43 Mn |
| Jun 30, 2025 | 3.04 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Dec 31, 2024 | 2.08 Mn |
| Sep 30, 2024 | 2.06 Mn |
| Jun 30, 2024 | 2.13 Mn |
| Mar 31, 2024 | 2.17 Mn |
| Dec 31, 2023 | 2.13 Mn |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 458,000.00 |
| Mar 31, 2023 | 536,000.00 |
| Dec 31, 2022 | 575,000.00 |
| Sep 30, 2022 | 544,000.00 |
| Jun 30, 2022 | 545,000.00 |
| Mar 31, 2022 | 636,000.00 |
| Dec 31, 2021 | 651,000.00 |
| Sep 30, 2021 | 663,000.00 |
Nbt Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();