National Bank Holdings (NBHC) Shares Outstanding (2010 - 2026)
National Bank Holdings' Shares Outstanding came in at 44.67 million for Q2 2026, up 17.3% from 38.08 million a year earlier and up 0.5% from the prior quarter.
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Analysis
National Bank Holdings (NBHC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, National Bank Holdings' Shares Outstanding was 37.96 million, down 0.6% from FY2024.
- Shares Outstanding carries a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 38.21 million in FY2024 (+0.7%), 37.94 million in FY2023 (+17.2%), 32.36 million in FY2022 (+5.3%) and 30.73 million in FY2021 (-0.4%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding since Q1 2014.
- Year-over-year, Shares Outstanding increased in five of the last eight quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Shares Outstanding over five years came in Q2 2023 (growth of 25.6%), and the weakest in Q2 2022 (a decline of 2.3%).
- Business Quant data shows NBHC's Shares Outstanding at 44.44 million (Q1 2026), 37.96 million (Q4 2025) and 37.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | National Bank Holdings | 1.75 Bn | -80.67 Mn | - | 44.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.67 Mn |
| Mar 31, 2026 | 44.44 Mn |
| Dec 31, 2025 | 37.96 Mn |
| Sep 30, 2025 | 37.91 Mn |
| Jun 30, 2025 | 38.08 Mn |
| Mar 31, 2025 | 38.07 Mn |
| Dec 31, 2024 | 38.21 Mn |
| Sep 30, 2024 | 38.28 Mn |
| Jun 30, 2024 | 38.21 Mn |
| Mar 31, 2024 | 38.03 Mn |
| Dec 31, 2023 | 37.94 Mn |
| Sep 30, 2023 | 37.99 Mn |
| Jun 30, 2023 | 37.96 Mn |
| Mar 31, 2023 | 37.79 Mn |
| Dec 31, 2022 | 32.36 Mn |
| Sep 30, 2022 | 31.26 Mn |
| Jun 30, 2022 | 30.23 Mn |
| Mar 31, 2022 | 30.12 Mn |
| Dec 31, 2021 | 30.73 Mn |
| Sep 30, 2021 | 30.80 Mn |
API Access
National Bank Holdings Shares Outstanding 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=shares-outstanding&ticker=NBHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();