Flagstar Bank, National Association (FLG) Provisions (2009 - 2026)
Flagstar Bank, National Association (FLG) posted Provisions of $18 million for Q2 2026, down 71.9% from $64 million a year earlier but up 800.0% from the prior quarter.
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Analysis
Flagstar Bank, National Association (FLG) Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Flagstar Bank, National Association was $63 million, down 88.5% year-over-year; for FY2025, it was $184 million, down 83.3% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- In prior years, Flagstar Bank, National Association's Provisions was $1.1 billion in FY2024 (+32.2%), $833 million in FY2023 (+499.3%), $139 million in FY2022 and $3 million in FY2021 (-95.2%).
- Quarterly Provisions has run from a low of -$2 million in Q1 2022 to a high of $558 million in Q4 2023 over five years.
- On a year-over-year basis, Provisions has declined in each of the last seven quarters, with an average decline of 36.2% over the last eight quarters.
- The strongest year-over-year quarter for Provisions in the past five years was Q2 2024, with growth of 720.4%; the weakest was Q1 2026, with a decline of 97.6%.
- According to Business Quant data, Provisions for the three prior quarters was $2 million (Q1 2026), $5 million (Q4 2025) and $38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | Flagstar Bank, National Association | 4.94 Bn | 4.94 Bn | - | 18.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 38.00 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 82.00 Mn |
| Dec 31, 2024 | 159.00 Mn |
| Sep 30, 2024 | 242.00 Mn |
| Jun 30, 2024 | 402.00 Mn |
| Mar 31, 2024 | 315.00 Mn |
| Dec 31, 2023 | 558.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 49.00 Mn |
| Mar 31, 2023 | 170.00 Mn |
| Dec 31, 2022 | 124.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 9.00 Mn |
| Mar 31, 2022 | -2.00 Mn |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | -1.00 Mn |
API Access
Flagstar Bank, National Association Provisions 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=provisions&ticker=FLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();