Old Republic International (ORI) Prepaid Assets (2010 - 2019)
Old Republic International (ORI) posted Prepaid Assets of $138.5 million for Q3 2019, up 21.2% from $114.3 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Old Republic International (ORI) Prepaid Assets (2010 - 2019) Analysis & Trends
At the end of FY2018, Old Republic International's Prepaid Assets came in at $129.8 million, up 13.6% from FY2017.
- Annual Prepaid Assets has increased for four consecutive years, with a four-year compound annual growth rate of 29.8% (FY2014 to FY2018).
- In prior years, Old Republic International's Prepaid Assets was $114.3 million in FY2017 (+38.7%), $82.4 million in FY2016 (+30.2%), $63.3 million in FY2015 (+38.5%) and $45.7 million in FY2014.
- The Q3 2019 figure stands as the highest quarterly Prepaid Assets in data going back to Q4 2010.
- On a year-over-year basis, Prepaid Assets has increased in each of the last four quarters, with growth averaging 12.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Prepaid Assets ran from 0.0% in Q1 2018 to 166.2% in Q1 2015.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $129.8 million (Q2 2019), $129.8 million (Q1 2019) and $129.8 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Old Republic International | 9.02 Bn | 9.03 Bn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 138.50 Mn |
| Jun 30, 2019 | 129.80 Mn |
| Mar 31, 2019 | 129.80 Mn |
| Dec 31, 2018 | 129.80 Mn |
| Sep 30, 2018 | 114.30 Mn |
| Jun 30, 2018 | 114.30 Mn |
| Mar 31, 2018 | 114.30 Mn |
| Dec 31, 2017 | 114.30 Mn |
| Sep 30, 2017 | 114.30 Mn |
| Jun 30, 2017 | 114.30 Mn |
| Mar 31, 2017 | 114.30 Mn |
| Dec 31, 2016 | 82.40 Mn |
| Sep 30, 2016 | 82.40 Mn |
| Jun 30, 2016 | 82.40 Mn |
| Mar 31, 2016 | 82.40 Mn |
| Dec 31, 2015 | 63.30 Mn |
| Sep 30, 2015 | 63.30 Mn |
| Jun 30, 2015 | 63.30 Mn |
| Mar 31, 2015 | 53.50 Mn |
| Dec 31, 2014 | 45.70 Mn |
API Access
Old Republic International Prepaid Assets 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=prepaid-assets&ticker=ORI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "ORI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=ORI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();