Mbia (MBI) Operating Margin (2009 - 2020)
Mbia (MBI) recorded Operating Margin of -212.28% in Q2 2020, up 944.39 percentage points from -1156.67% a year earlier and up 9187.72 percentage points from the prior quarter.
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Analysis
Mbia (MBI) Operating Margin (2009 - 2020) Analysis & Trends
On a TTM basis, Mbia's Operating Margin came in at -358.13% as of Jun 30, 2020, down 109.72 percentage points year-over-year; for FY2019, it came in at -213.93%, up 7.68 percentage points from FY2018.
- Annual Operating Margin has a five-year change of -253.93 percentage points (FY2014 to FY2019).
- Across earlier years, Operating Margin came in at -221.60% in FY2018 (+88.79 pp), -310.39% in FY2017 (-120.26 pp), -190.14% in FY2016 (-209.60 pp) and 19.46% in FY2015 (-20.54 pp).
- Quarterly Operating Margin has ranged from -9400.00% in Q1 2020 to 31.99% in Q4 2015 over the past five years.
- On a year-over-year basis, Operating Margin rose in five of the last six quarters, with an average year-over-year change of -1037.65 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 1361.82 percentage points in Q3 2018, against a drop of 9286.00 percentage points in Q1 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at -9400.00% (Q1 2020), -1210.71% (Q4 2019) and -0.58% (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | -53.77% |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 21.55% |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | - |
| 10 | Mbia | 219.37 Mn | -998.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | -212.28% |
| Mar 31, 2020 | -9,400.00% |
| Dec 31, 2019 | -1,210.71% |
| Sep 30, 2019 | -0.58% |
| Jun 30, 2019 | -1,156.67% |
| Mar 31, 2019 | -114.00% |
| Sep 30, 2018 | -86.67% |
| Jun 30, 2018 | -1,708.33% |
| Mar 31, 2018 | -230.14% |
| Dec 31, 2017 | -108.37% |
| Sep 30, 2017 | -1,448.48% |
| Jun 30, 2017 | -527.78% |
| Mar 31, 2017 | -277.92% |
| Sep 30, 2016 | 2.46% |
| Jun 30, 2016 | -111.86% |
| Mar 31, 2016 | -384.38% |
| Dec 31, 2015 | 31.99% |
| Sep 30, 2015 | -102.17% |
| Jun 30, 2015 | 18.78% |
| Mar 31, 2015 | 48.86% |
API Access
Mbia Operating Margin 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-margin&ticker=MBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();