Mbia (MBI) Return on Sales [ROS] (2009 - 2026)
Mbia (MBI) recorded Return on Sales [ROS] of 88.46% in Q3 2026, down 198.21 percentage points from 286.67% a year earlier but up 69.94 percentage points from the prior quarter.
Mbia (MBI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Mbia's Return on Sales [ROS] came in at 24.76% as of Sep 30, 2026, down 1.08 percentage points year-over-year; for FY2025, it was 18.75%, up 573.51 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +160.59 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -554.76% in FY2024 (+3359.52 pp), -3914.29% in FY2023 (-3934.42 pp), 20.13% in FY2022 (+169.34 pp) and -149.21% in FY2021 (-7.36 pp).
- Quarterly Return on Sales [ROS] has ranged from -3914.29% in Q4 2023 to 286.67% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +602.57 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3713.42 percentage points in Q4 2024, against a drop of 3993.23 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 18.52% (Q2 2026), 25.00% (Q1 2026) and -28.57% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | Mbia | 243.87 Mn | -967.13 Mn | 13.00 Mn | 88.46% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 88.46% |
| Jun 30, 2026 | 18.52% |
| Mar 31, 2026 | 25.00% |
| Dec 31, 2025 | -28.57% |
| Sep 30, 2025 | 286.67% |
| Jun 30, 2025 | -34.78% |
| Mar 31, 2025 | -85.71% |
| Dec 31, 2024 | -195.69% |
| Sep 30, 2024 | 6.90% |
| Jun 30, 2024 | -524.32% |
| Mar 31, 2024 | -269.23% |
| Dec 31, 2023 | -5,100.00% |
| Sep 30, 2023 | -1,650.00% |
| Jun 30, 2023 | -89.29% |
| Mar 31, 2023 | -1,600.00% |
| Dec 31, 2022 | 78.95% |
| Sep 30, 2022 | 64.71% |
| Jun 30, 2022 | 17.50% |
| Mar 31, 2022 | -80.00% |
| Dec 31, 2021 | -422.22% |
Mbia 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=MBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MBI", "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=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();