National Bank Holdings (NBHC) Amortization - Intangibles (2017 - 2026)
National Bank Holdings (NBHC) posted Amortization - Intangibles of $2.43 million for Q2 2026, up 25.0% from $1.95 million a year earlier but down 1.3% from the prior quarter.
National Bank Holdings (NBHC) Amortization - Intangibles (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at National Bank Holdings was $8.79 million, up 11.6% year-over-year; for FY2025, it was $7.82 million, down 1.5% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 45.9% (FY2020 to FY2025).
- In prior years, National Bank Holdings' Amortization - Intangibles was $7.94 million in FY2024 (+7.5%), $7.39 million in FY2023 (+215.9%), $2.34 million in FY2022 (+97.6%) and $1.18 million in FY2021 (unchanged).
- Quarterly Amortization - Intangibles has run from a low of $295,000 in Q3 2021 to a high of $2.46 million in Q1 2026 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in two of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2023, with growth of 578.0%; the weakest was Q3 2025, with a decline of 1.6%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $2.46 million (Q1 2026), $1.95 million (Q4 2025) and $1.95 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 | National Bank Holdings | 1.75 Bn | -80.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 1.95 Mn |
| Jun 30, 2025 | 1.95 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.98 Mn |
| Sep 30, 2024 | 1.98 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 2.01 Mn |
| Dec 31, 2023 | 2.01 Mn |
| Sep 30, 2023 | 2.01 Mn |
| Jun 30, 2023 | 2.01 Mn |
| Mar 31, 2023 | 1.36 Mn |
| Dec 31, 2022 | 1.36 Mn |
| Sep 30, 2022 | 383,000.00 |
| Jun 30, 2022 | 296,000.00 |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 296,000.00 |
| Sep 30, 2021 | 295,000.00 |
National Bank Holdings 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=NBHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "NBHC", "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=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();