Flagstar Bank, National Association (FLG) Cash & Equivalents (2016 - 2025)
Flagstar Bank, National Association's Cash & Equivalents came in at $8.48 billion for Q3 2025, up 4.8% from the prior quarter.
Flagstar Bank, National Association (FLG) Cash & Equivalents (2016 - 2025) Analysis & Trends
At the end of FY2024, Flagstar Bank, National Association's Cash & Equivalents was $15.43 billion, up 34.5% from FY2023.
- Cash & Equivalents carries a five-year compound annual growth rate of 83.5% (FY2019 to FY2024).
- Going back by year, Cash & Equivalents was $11.48 billion in FY2023 (+464.7%) and $2.03 billion in FY2022.
- The five-year range for quarterly Cash & Equivalents is $2.03 billion (Q4 2022) to $22.25 billion (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Flagstar Bank, National Association | 4.87 Bn | 4.87 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 8.48 Bn |
| Jun 30, 2025 | 8.09 Bn |
| Dec 31, 2024 | 15.43 Bn |
| Dec 31, 2023 | 11.48 Bn |
| Mar 31, 2023 | 22.25 Bn |
| Dec 31, 2022 | 2.03 Bn |
| Mar 31, 2020 | 1.33 Bn |
| Dec 31, 2019 | 741.87 Mn |
| Dec 31, 2018 | 1.47 Bn |
| Dec 31, 2017 | 2.53 Bn |
| Dec 31, 2016 | 557.85 Mn |
Flagstar Bank, National Association Cash & Equivalents 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=cash-and-equivalents&ticker=FLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();