Mbia (MBI) Exchange Rate Effect (2013 - 2022)
Mbia's Exchange Rate Effect came in at -$2 million for FY2022.
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Analysis
Mbia (MBI) Exchange Rate Effect (2013 - 2022) Analysis & Trends
Going back to FY2013, Mbia's Exchange Rate Effect data covers 8 years.
- Per Business Quant, earlier years put Exchange Rate Effect at $1 million in FY2020 and -$1 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 40.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 253.02 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | -57.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | -50.00 Mn |
| 10 | Mbia | 220.63 Mn | -1.01 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -1.00 Mn |
| Jun 30, 2022 | -2.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2017 | -2.00 Mn |
| Jun 30, 2017 | -1.00 Mn |
| Mar 31, 2017 | 1.00 Mn |
| Dec 31, 2016 | -1.00 Mn |
| Sep 30, 2016 | 2.00 Mn |
| Jun 30, 2016 | -6.00 Mn |
| Mar 31, 2016 | 3.00 Mn |
| Dec 31, 2015 | -19.00 Mn |
| Sep 30, 2015 | 15.00 Mn |
| Jun 30, 2015 | 6.00 Mn |
| Mar 31, 2015 | -10.00 Mn |
| Dec 31, 2014 | -3.00 Mn |
| Sep 30, 2014 | -8.00 Mn |
| Jun 30, 2014 | 2.00 Mn |
| Mar 31, 2014 | 1.00 Mn |
| Dec 31, 2013 | 4.00 Mn |
| Sep 30, 2013 | 7.00 Mn |
API Access
Mbia Exchange Rate Effect 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=exchange-rate-effect&ticker=MBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();