National Bank Holdings (NBHC) EBITDA (2012 - 2026)
National Bank Holdings' EBITDA was $96.46 million in Q2 2026, up 5.7% from $91.27 million a year earlier and up 13.2% from the prior quarter.
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Analysis
National Bank Holdings (NBHC) EBITDA (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, National Bank Holdings' EBITDA was $343.99 million through Jun 30, 2026, down 2.8% year-over-year; for FY2025, it was $333.31 million, down 8.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $362.63 million in FY2024 (+8.8%), $333.23 million in FY2023 (+176.6%), $120.49 million in FY2022 (-15.4%) and $142.38 million in FY2021 (-4.4%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2012.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with an average decline of 2.1%.
- The best year-over-year quarter for EBITDA over five years was Q3 2023 (growth of 233.7%); the worst was Q1 2022 (a decline of 30.4%).
- Per Business Quant data, NBHC's EBITDA in the three quarters before Q2 2026 was $85.25 million (Q1 2026), $67.51 million (Q4 2025) and $94.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | National Bank Holdings | 1.75 Bn | -78.89 Mn | - | 96.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.46 Mn |
| Mar 31, 2026 | 85.25 Mn |
| Dec 31, 2025 | 67.51 Mn |
| Sep 30, 2025 | 94.77 Mn |
| Jun 30, 2025 | 91.27 Mn |
| Mar 31, 2025 | 79.45 Mn |
| Dec 31, 2024 | 86.99 Mn |
| Sep 30, 2024 | 96.09 Mn |
| Jun 30, 2024 | 86.63 Mn |
| Mar 31, 2024 | 92.61 Mn |
| Dec 31, 2023 | 90.44 Mn |
| Sep 30, 2023 | 89.88 Mn |
| Jun 30, 2023 | 78.47 Mn |
| Mar 31, 2023 | 74.12 Mn |
| Dec 31, 2022 | 34.30 Mn |
| Sep 30, 2022 | 26.94 Mn |
| Jun 30, 2022 | 31.01 Mn |
| Mar 31, 2022 | 28.24 Mn |
| Dec 31, 2021 | 33.13 Mn |
| Sep 30, 2021 | 31.85 Mn |
API Access
National Bank Holdings EBITDA 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=ebitda&ticker=NBHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();