Magna International (MGA) Change in Accured Expenses (2013 - 2017)
Magna International's (MGA) quarterly Change in Accured Expenses came in at $77.0 in Q4 2017, down 100.0% quarter-over-quarter from $2.0 million in Q2 2015.
Magna International (MGA) Change in Accured Expenses (2013 - 2017) Analysis & Trends
Magna International (MGA) has reported Change in Accured Expenses for 4 consecutive years, with $77.0 the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Change in Accured Expenses changed N/A year-over-year to $77.0; the trailing twelve-month figure through Dec 2017 stood at -$66.0 million (changed N/A YoY), and the FY2019 full-year result was $97.0 million, down 7.62% from the prior year.
- Change in Accured Expenses retreated to $77.0 in Q4 2017 per MGA's latest filing, from $2.0 million in the prior quarter.
- Across five years, Change in Accured Expenses topped out at $315.0 million in Q1 2013 and bottomed at -$37.0 million in Q4 2014.
- Historically, Change in Accured Expenses has averaged $59.3 million across 4 years, with a median of $1.0 million in 2015.
- The sharpest annual moves came in 2014 and 2015: Change in Accured Expenses tumbled 140.26% in 2014, then jumped 110.0% in 2015.
- Over 4 years, Change in Accured Expenses stood at $77.0 million in 2013, then sank by 148.05% to -$37.0 million in 2014, then jumped by 105.41% to $2.0 million in 2015, then slumped by 100.0% to $77.0 in 2017.
- According to Business Quant data, Change in Accured Expenses over the past three periods registered $77.0, $2.0 million, and -$37.0 million for Q4 2017, Q2 2015, and Q4 2014 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 1.94 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | - |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 1.78 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 144.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | - |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 77.00 |
| Jun 30, 2015 | 2.00 Mn |
| Dec 31, 2014 | -37.00 Mn |
| Sep 30, 2014 | -31.00 Mn |
| Jun 30, 2014 | -20.00 Mn |
| Mar 31, 2014 | 168.00 Mn |
| Sep 30, 2013 | 77.00 Mn |
| Mar 31, 2013 | 315.00 Mn |
Magna International Change in Accured Expenses 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=change-in-accured-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();