Progressive (PGR) Exchange Rate Effect (2012 - 2017)
Progressive's (PGR) quarterly Exchange Rate Effect came in at -$700000.0 in Q4 2017, down 275.0% quarter-over-quarter from $400000.0 in Q3 2017.
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Analysis
Progressive (PGR) Exchange Rate Effect (2012 - 2017) Analysis & Trends
Progressive (PGR) has reported Exchange Rate Effect for 6 consecutive years, with -$700000.0 the latest figure, recorded in Q4 2017.
- On a quarterly basis, Exchange Rate Effect changed N/A year-over-year to -$700000.0 in Q4 2017; TTM through Dec 2018 was -$300000.0, a 0.0% change from a year earlier, with the FY2017 full-year figure at -$300000.0, down 175.0% from the prior year.
- Exchange Rate Effect was -$700000.0 for Q4 2017 at Progressive, down from $400000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $600000.0 in Q1 2014 and troughed at -$1.3 million in Q4 2014.
- A 5-year average of -$43750.0 and a median of $100000.0 in 2014 frame the typical range for Exchange Rate Effect.
- The widest YoY moves for Exchange Rate Effect: up 700.0% in 2014, down 533.33% in 2014.
- Over 5 years, Exchange Rate Effect stood at $300000.0 in 2013, then slumped by 533.33% to -$1.3 million in 2014, then surged by 138.46% to $500000.0 in 2015, then slumped by 60.0% to $200000.0 in 2016, then slumped by 450.0% to -$700000.0 in 2017.
- The last three Exchange Rate Effect figures came in at -$700000.0 (Q4 2017), $400000.0 (Q3 2017), and $200000.0 (Q3 2016), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,085.11 Bn | 760.40 Bn | 55.86 Bn | -46.00 Mn |
| 2 | Chubb | 129.51 Bn | 121.21 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.30 Bn | 115.30 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | -14.00 Mn |
| 5 | Travelers Companies | 75.54 Bn | 51.79 Bn | 6.23 Bn | -2.00 Mn |
| 6 | Manulife Financial | 75.22 Bn | 76.43 Bn | - | 760.52 Mn |
| 7 | Metlife | 61.21 Bn | 34.19 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Aon | 60.67 Bn | 59.43 Bn | - | -50.00 Mn |
| 9 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | -57.00 Mn |
| 10 | Allstate | 58.28 Bn | 19.52 Bn | 16.28 Bn | - |
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();