Flagstar Bank, National Association (FLG) Return on Sales [ROS] (2009 - 2026)
Flagstar Bank, National Association (FLG) reported Return on Sales [ROS] of 113.18% for Q2 2026, down 16.46 percentage points from 129.64% a year earlier and down 1.88 percentage points from the prior quarter.
Flagstar Bank, National Association (FLG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Flagstar Bank, National Association's Return on Sales [ROS] came in at 116.17%, down 1.29 percentage points year-over-year; for FY2025, it came in at 123.52%, up 28.58 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -5312.84 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 94.95% in FY2024 (+53.93 pp), 41.01% in FY2023 (-5596.02 pp), 5637.04% in FY2022 (+393.56 pp) and 5243.48% in FY2021 (-192.89 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +57.15 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 2826.67 percentage points); the low point was Q3 2023 (a drop of 7673.82 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 115.06% (Q1 2026), 114.18% (Q4 2025) and 122.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Flagstar Bank, National Association | 4.88 Bn | 4.88 Bn | - | 113.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.18% |
| Mar 31, 2026 | 115.06% |
| Dec 31, 2025 | 114.18% |
| Sep 30, 2025 | 122.35% |
| Jun 30, 2025 | 129.64% |
| Mar 31, 2025 | 129.18% |
| Dec 31, 2024 | 105.44% |
| Sep 30, 2024 | 110.59% |
| Jun 30, 2024 | 84.50% |
| Mar 31, 2024 | 80.25% |
| Dec 31, 2023 | -243.37% |
| Sep 30, 2023 | 86.18% |
| Jun 30, 2023 | 90.68% |
| Mar 31, 2023 | 93.71% |
| Dec 31, 2022 | 4,860.00% |
| Sep 30, 2022 | 7,760.00% |
| Jun 30, 2022 | 5,733.33% |
| Mar 31, 2022 | 5,066.67% |
| Dec 31, 2021 | 4,950.00% |
| Sep 30, 2021 | 4,933.33% |
Flagstar Bank, National Association Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();