Flagstar Bank, National Association (FLG) Securities - Tradable (2016 - 2025)
Flagstar Bank, National Association's Securities - Tradable came in at $15.05 billion for Q3 2025, up 1.5% from the prior quarter.
Analysis
Flagstar Bank, National Association (FLG) Securities - Tradable (2016 - 2025) Analysis & Trends
At the end of FY2024, Flagstar Bank, National Association's Securities - Tradable was $10.4 billion.
- Securities - Tradable carries a three-year compound annual growth rate of 21.6% (FY2021 to FY2024).
- Going back by year, Securities - Tradable was $9.06 billion in FY2022 (+56.7%) and $5.78 billion in FY2021.
- The Q3 2025 figure represents the highest quarterly Securities - Tradable in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Flagstar Bank, National Association | 4.86 Bn | 4.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 15.05 Bn |
| Jun 30, 2025 | 14.82 Bn |
| Dec 31, 2024 | 10.40 Bn |
| Mar 31, 2023 | 7.60 Bn |
| Dec 31, 2022 | 9.06 Bn |
| Sep 30, 2022 | 6.69 Bn |
| Jun 30, 2022 | 5.66 Bn |
| Mar 31, 2022 | 5.61 Bn |
| Dec 31, 2021 | 5.78 Bn |
| Sep 30, 2019 | 5.89 Bn |
| Jun 30, 2019 | 5.77 Bn |
| Mar 31, 2019 | 5.76 Bn |
| Dec 31, 2018 | 5.64 Bn |
| Jun 30, 2017 | 3.17 Bn |
| Dec 31, 2016 | 104.28 Mn |
API Access
Flagstar Bank, National Association Securities - Tradable 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-tradable&ticker=FLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "ticker": "FLG", "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-tradable&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();