Erie Indemnity (ERIE) Gross Profit (2009 - 2018)
Erie Indemnity's (ERIE) quarterly Gross Profit came in at $223.5 million in Q1 2018, down 35.54% year-over-year from $346.8 million in Q1 2017, and down 35.03% quarter-over-quarter from $344.1 million in Q4 2017.
Erie Indemnity (ERIE) Gross Profit (2009 - 2018) Analysis & Trends
Erie Indemnity has disclosed Gross Profit across 10 years of filings, most recently posting $223.5 million for Q1 2018.
- In Q1 2018, Gross Profit fell 35.54% year-over-year to $223.5 million; the TTM figure through Mar 2018 stood at $1.4 billion (down 4.5% YoY), while the FY2017 annual figure was $1.5 billion, up 5.47% from the prior year.
- Gross Profit came in at $223.5 million for Q1 2018 at Erie Indemnity, down from $344.1 million in the prior quarter.
- In the past five years, Gross Profit ranged from a high of $3.2 billion in Q4 2014 to a low of -$752.0 million in Q2 2014.
- Average Gross Profit over 5 years is $330.5 million, with a median of $344.1 million recorded in 2017.
- Year-over-year, Gross Profit slumped 233.1% in 2014 and soared 161.97% in 2015.
- Over 5 years, Gross Profit stood at $3.2 billion in 2014, then tumbled by 90.59% to $304.5 million in 2015, then advanced by 6.82% to $325.3 million in 2016, then climbed by 5.77% to $344.1 million in 2017, then sank by 35.03% to $223.5 million in 2018.
- Per Business Quant data, the three most recent Gross Profit figures were $223.5 million in Q1 2018, $344.1 million in Q4 2017, and $390.0 million in Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 223.53 Mn |
| Dec 31, 2017 | 344.07 Mn |
| Sep 30, 2017 | 390.01 Mn |
| Jun 30, 2017 | 395.20 Mn |
| Mar 31, 2017 | 346.75 Mn |
| Dec 31, 2016 | 325.30 Mn |
| Sep 30, 2016 | 367.98 Mn |
| Jun 30, 2016 | 376.58 Mn |
| Mar 31, 2016 | 329.67 Mn |
| Dec 31, 2015 | 304.53 Mn |
| Sep 30, 2015 | 350.37 Mn |
| Jun 30, 2015 | 351.07 Mn |
| Mar 31, 2015 | 301.17 Mn |
| Dec 31, 2014 | 3.24 Bn |
| Sep 30, 2014 | -565.36 Mn |
| Jun 30, 2014 | -752.02 Mn |
| Mar 31, 2014 | -707.75 Mn |
| Dec 31, 2013 | 4.10 Bn |
| Sep 30, 2013 | 709.00 Mn |
| Jun 30, 2013 | 565.00 Mn |
Erie Indemnity Gross Profit 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=gross-profit&ticker=ERIE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "ticker": "ERIE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-profit&ticker=ERIE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();