Flagstar Bank, National Association (FLG) Operating Expenses (2009 - 2026)
Flagstar Bank, National Association (FLG) reported Operating Expenses of $450 million for Q2 2026, down 12.3% from $513 million a year earlier and down 3.4% from the prior quarter.
Flagstar Bank, National Association (FLG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Flagstar Bank, National Association's Operating Expenses came in at $1.95 billion, down 21.5% year-over-year; for FY2025, it came in at $2.08 billion, down 26.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.84 billion in FY2024 (-43.0%), $4.98 billion in FY2023 (+628.2%), $684 million in FY2022 (+26.4%) and $541 million in FY2021 (+5.9%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2022.
- Year over year, Operating Expenses has now declined in each of the last seven quarters, with an average decline of 26.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 423.5%); the low point was Q4 2024 (a decline of 77.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $466 million (Q1 2026), $509 million (Q4 2025) and $522 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Flagstar Bank, National Association | 4.94 Bn | 4.94 Bn | - | 450.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 450.00 Mn |
| Mar 31, 2026 | 466.00 Mn |
| Dec 31, 2025 | 509.00 Mn |
| Sep 30, 2025 | 522.00 Mn |
| Jun 30, 2025 | 513.00 Mn |
| Mar 31, 2025 | 532.00 Mn |
| Dec 31, 2024 | 718.00 Mn |
| Sep 30, 2024 | 716.00 Mn |
| Jun 30, 2024 | 705.00 Mn |
| Mar 31, 2024 | 699.00 Mn |
| Dec 31, 2023 | 3.13 Bn |
| Sep 30, 2023 | 712.00 Mn |
| Jun 30, 2023 | 661.00 Mn |
| Mar 31, 2023 | 476.00 Mn |
| Dec 31, 2022 | 269.00 Mn |
| Sep 30, 2022 | 136.00 Mn |
| Jun 30, 2022 | 138.00 Mn |
| Mar 31, 2022 | 141.00 Mn |
| Dec 31, 2021 | 135.00 Mn |
| Sep 30, 2021 | 135.00 Mn |
Flagstar Bank, National Association Operating Expenses 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=operating-expenses&ticker=FLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();