National Bank Holdings (NBHC) Tax Provisions (2010 - 2026)
National Bank Holdings (NBHC) posted Tax Provisions of $6.12 million for Q2 2026, down 18.7% from $7.52 million a year earlier but up 18.8% from the prior quarter.
National Bank Holdings (NBHC) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at National Bank Holdings was $22.23 million, down 16.0% year-over-year; for FY2025, it came in at $24.1 million, down 8.8% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, National Bank Holdings' Tax Provisions was $26.43 million in FY2024 (-21.3%), $33.6 million in FY2023 (+125.4%), $14.91 million in FY2022 (-30.3%) and $21.4 million in FY2021 (+2.9%).
- Quarterly Tax Provisions has run from a low of $2.95 million in Q4 2022 to a high of $10.08 million in Q1 2023 over five years.
- On a year-over-year basis, Tax Provisions has declined in each of the last three quarters, with an average decline of 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2023, with growth of 179.7%; the weakest was Q4 2025, with a decline of 52.6%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $5.15 million (Q1 2026), $3.1 million (Q4 2025) and $7.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | National Bank Holdings | 1.75 Bn | -80.67 Mn | - | 6.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.12 Mn |
| Mar 31, 2026 | 5.15 Mn |
| Dec 31, 2025 | 3.10 Mn |
| Sep 30, 2025 | 7.86 Mn |
| Jun 30, 2025 | 7.52 Mn |
| Mar 31, 2025 | 5.62 Mn |
| Dec 31, 2024 | 6.54 Mn |
| Sep 30, 2024 | 6.78 Mn |
| Jun 30, 2024 | 5.62 Mn |
| Mar 31, 2024 | 7.50 Mn |
| Dec 31, 2023 | 5.83 Mn |
| Sep 30, 2023 | 9.33 Mn |
| Jun 30, 2023 | 8.37 Mn |
| Mar 31, 2023 | 10.08 Mn |
| Dec 31, 2022 | 2.95 Mn |
| Sep 30, 2022 | 3.99 Mn |
| Jun 30, 2022 | 4.36 Mn |
| Mar 31, 2022 | 3.60 Mn |
| Dec 31, 2021 | 5.33 Mn |
| Sep 30, 2021 | 4.95 Mn |
National Bank Holdings Tax Provisions 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=tax-provisions&ticker=NBHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();