Mbia (MBI) Cost of Revenue (2009 - 2026)
Mbia (MBI) recorded Cost of Revenue of $136 million in Q2 2020, down 2.9% from $140 million a year earlier and down 44.0% from the prior quarter.
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Analysis
Mbia (MBI) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Mbia's Cost of Revenue came in at $588 million as of Jun 30, 2020, up 434.5% year-over-year; for FY2019, it came in at $242 million, up 284.1% from FY2018.
- Annual Cost of Revenue has a five-year compound annual growth rate of 12.7% (FY2014 to FY2019).
- Across earlier years, Cost of Revenue came in at $63 million in FY2018 (-90.8%), $683 million in FY2017 (+210.5%), $220 million in FY2016 (+78.9%) and $123 million in FY2015 (-7.5%).
- Quarterly Cost of Revenue has ranged from -$114 million in Q4 2018 to $243 million in Q1 2020 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in three of the last six quarters, with growth averaging 107.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 539.5% in Q1 2020, against a decline of 77.6% in Q3 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $243 million (Q1 2020), $119 million (Q4 2019) and $90 million (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 48.94 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 7.53 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.90 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 6.49 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 645.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 9.94 Bn |
| 10 | Mbia | 243.87 Mn | -967.13 Mn | 13.00 Mn | 13.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.00 Mn |
| Jun 30, 2026 | 19.00 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 19.00 Mn |
| Jun 30, 2025 | 18.00 Mn |
| Mar 31, 2025 | 16.00 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 15.00 Mn |
| Mar 31, 2024 | 25.00 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | 19.00 Mn |
| Dec 31, 2021 | 21.00 Mn |
API Access
Mbia Cost of Revenue 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=cost-of-revenue&ticker=MBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();