Flagstar Bank, National Association (FLG) Loans - Net (2018 - 2025)
Flagstar Bank, National Association (FLG) recorded Loans - Net of $61.59 billion in Q3 2025, down 2.3% from the prior quarter.
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Analysis
Flagstar Bank, National Association (FLG) Loans - Net (2018 - 2025) Analysis & Trends
At the end of FY2024, Flagstar Bank, National Association reported Loans - Net of $67.07 billion.
- Annual Loans - Net has a five-year compound annual growth rate of 9.9% (FY2019 to FY2024).
- Across earlier years, Loans - Net came in at $68.61 billion in FY2022.
- The Q3 2025 figure is the lowest quarterly Loans - Net since Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1,516.31 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1,204.51 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 289.32 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 795.18 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 | - | 260.89 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1,017.21 Bn |
| 10 | Flagstar Bank, National Association | 4.86 Bn | 4.86 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 61.59 Bn |
| Jun 30, 2025 | 63.02 Bn |
| Dec 31, 2024 | 67.07 Bn |
| Mar 31, 2023 | 82.00 Bn |
| Dec 31, 2022 | 68.61 Bn |
| Mar 31, 2020 | 42.13 Bn |
| Dec 31, 2019 | 41.75 Bn |
| Dec 31, 2018 | 40.01 Bn |
API Access
Flagstar Bank, National Association Loans - Net 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=loans-net&ticker=FLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();