Progressive (PGR) Exchange Rate Effect (2012 - 2017)
Progressive's Exchange Rate Effect came in at -$700,000 for Q4 2017.
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Analysis
Progressive (PGR) Exchange Rate Effect (2012 - 2017) Analysis & Trends
For FY2017, Progressive's Exchange Rate Effect was -$300,000.
- Going back by year, Exchange Rate Effect was $400,000 in FY2016, -$200,000 in FY2015 and -$600,000 in FY2013.
- The Q4 2017 figure represents the lowest quarterly Exchange Rate Effect since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | -14.00 Mn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 253.02 Mn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 41.00 Mn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | -57.00 Mn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | 5.00 Mn |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | -50.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -700,000.00 |
| Sep 30, 2017 | 400,000.00 |
| Sep 30, 2016 | 200,000.00 |
| Jun 30, 2016 | 100,000.00 |
| Mar 31, 2016 | 100,000.00 |
| Dec 31, 2015 | 500,000.00 |
| Sep 30, 2015 | -300,000.00 |
| Mar 31, 2015 | -400,000.00 |
| Dec 31, 2014 | -1.30 Mn |
| Sep 30, 2014 | 100,000.00 |
| Jun 30, 2014 | 600,000.00 |
| Mar 31, 2014 | 600,000.00 |
| Dec 31, 2013 | 300,000.00 |
| Sep 30, 2013 | -200,000.00 |
| Jun 30, 2013 | -600,000.00 |
| Mar 31, 2013 | -100,000.00 |
| Dec 31, 2012 | 100,000.00 |
API Access
Progressive 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=PGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PGR", "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=PGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();