National Bank Holdings (NBHC) Loans - Loss Allowance (2011 - 2026)
National Bank Holdings (NBHC) posted Loans - Loss Allowance of $110.3 million for Q2 2026, up 24.1% from $88.89 million a year earlier but down 2.8% from the prior quarter.
National Bank Holdings (NBHC) Loans - Loss Allowance (2011 - 2026) Analysis & Trends
At the end of FY2025, National Bank Holdings' Loans - Loss Allowance came in at $87.42 million, down 7.5% from FY2024.
- Annual Loans - Loss Allowance shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, National Bank Holdings' Loans - Loss Allowance was $94.46 million in FY2024 (-3.6%), $97.95 million in FY2023 (+9.4%), $89.55 million in FY2022 (+80.2%) and $49.69 million in FY2021 (-16.9%).
- Quarterly Loans - Loss Allowance has run from a low of $48.81 million in Q1 2022 to a high of $113.48 million in Q1 2026 over five years.
- On a year-over-year basis, Loans - Loss Allowance increased in three of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q1 2023, with growth of 85.1%; the weakest was Q3 2021, with a decline of 19.4%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $113.48 million (Q1 2026), $87.42 million (Q4 2025) and $88.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | National Bank Holdings | 1.75 Bn | -80.67 Mn | - | 110.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.30 Mn |
| Mar 31, 2026 | 113.48 Mn |
| Dec 31, 2025 | 87.42 Mn |
| Sep 30, 2025 | 88.30 Mn |
| Jun 30, 2025 | 88.89 Mn |
| Mar 31, 2025 | 90.19 Mn |
| Dec 31, 2024 | 94.46 Mn |
| Sep 30, 2024 | 95.05 Mn |
| Jun 30, 2024 | 96.46 Mn |
| Mar 31, 2024 | 97.61 Mn |
| Dec 31, 2023 | 97.95 Mn |
| Sep 30, 2023 | 93.45 Mn |
| Jun 30, 2023 | 92.58 Mn |
| Mar 31, 2023 | 90.34 Mn |
| Dec 31, 2022 | 89.55 Mn |
| Sep 30, 2022 | 65.62 Mn |
| Jun 30, 2022 | 50.86 Mn |
| Mar 31, 2022 | 48.81 Mn |
| Dec 31, 2021 | 49.69 Mn |
| Sep 30, 2021 | 49.16 Mn |
National Bank Holdings 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=NBHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();