National Bank Holdings (NBHC) Revenue (2010 - 2026)
National Bank Holdings (NBHC) reported Revenue of $11.94 million for Q2 2026, up 7.4% from $11.12 million a year earlier and up 5.1% from the prior quarter.
National Bank Holdings (NBHC) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, National Bank Holdings' Revenue came in at $48.51 million, up 6.8% year-over-year; for FY2025, it came in at $47.15 million, up 2.1% from FY2024.
- Revenue has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Revenue came in at $46.17 million in FY2024 (-1.6%), $46.92 million in FY2023 (+24.6%), $37.65 million in FY2022 (+5.3%) and $35.76 million in FY2021 (+10.5%).
- Five-year quarterly Revenue spans a low of -$51.39 million in Q4 2021 and a high of $28.52 million in Q3 2021.
- Year over year, Revenue has now increased in each of the last three quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q2 2023 (growth of 57.9%); the low point was Q1 2022 (a decline of 75.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.36 million (Q1 2026), $13.94 million (Q4 2025) and $11.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 57.35 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 31.56 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 20.19 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 21.35 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 13.30 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 20.34 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 9.94 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 22.62 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 12.11 Bn |
| 10 | National Bank Holdings | 1.73 Bn | -94.48 Mn | - | 129.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.06 Mn |
| Mar 31, 2026 | 126.78 Mn |
| Dec 31, 2025 | 100.64 Mn |
| Sep 30, 2025 | 108.89 Mn |
| Jun 30, 2025 | 104.48 Mn |
| Mar 31, 2025 | 102.07 Mn |
| Dec 31, 2024 | 101.25 Mn |
| Sep 30, 2024 | 106.04 Mn |
| Jun 30, 2024 | 97.60 Mn |
| Mar 31, 2024 | 101.72 Mn |
| Dec 31, 2023 | 105.57 Mn |
| Sep 30, 2023 | 107.14 Mn |
| Jun 30, 2023 | 103.61 Mn |
| Mar 31, 2023 | 109.55 Mn |
| Dec 31, 2022 | 109.20 Mn |
| Sep 30, 2022 | 86.45 Mn |
| Jun 30, 2022 | 72.78 Mn |
| Mar 31, 2022 | 65.72 Mn |
| Dec 31, 2021 | -51.39 Mn |
| Sep 30, 2021 | 76.09 Mn |
National Bank Holdings Revenue 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=revenue&ticker=NBHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();