National Bank Holdings (NBHC) Securities - Available for Sale (2011 - 2026)
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Analysis
National Bank Holdings (NBHC) Securities - Available for Sale (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Securities - Available for Sale (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 536.05 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 363.42 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 105.53 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 155.64 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 250.33 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | - |
| 10 | National Bank Holdings | 1.73 Bn | -94.48 Mn | - | 600.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600.00 Mn |
| Mar 31, 2026 | 605.17 Mn |
| Dec 31, 2025 | 528.64 Mn |
| Sep 30, 2025 | 612.72 Mn |
| Jun 30, 2025 | 631.95 Mn |
| Mar 31, 2025 | 634.38 Mn |
| Dec 31, 2024 | 527.55 Mn |
| Sep 30, 2024 | 708.99 Mn |
| Jun 30, 2024 | 700.00 Mn |
| Mar 31, 2024 | 700.00 Mn |
| Dec 31, 2023 | 628.83 Mn |
| Sep 30, 2023 | 620.45 Mn |
| Jun 30, 2023 | 700.00 Mn |
| Mar 31, 2023 | 700.00 Mn |
| Dec 31, 2022 | 706.29 Mn |
| Sep 30, 2022 | 730.79 Mn |
| Jun 30, 2022 | 805.86 Mn |
| Mar 31, 2022 | 800.00 Mn |
| Dec 31, 2021 | 700.00 Mn |
| Sep 30, 2021 | 700.00 Mn |
API Access
National Bank Holdings Securities - Available for Sale 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=securities-available-for-sale&ticker=NBHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-available-for-sale", "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=securities-available-for-sale&ticker=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();