General Motors (GM) Operating Interest Expenses (2012 - 2018)
General Motors' Operating Interest Expenses came in at $3 billion for Q2 2018, up 12.0% from $2.68 billion a year earlier but down 0.6% from the prior quarter.
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Analysis
General Motors (GM) Operating Interest Expenses (2012 - 2018) Analysis & Trends
Over the trailing twelve months to Jun 30, 2018, General Motors reported Operating Interest Expenses of $11.9 billion, up 20.5% year-over-year; for FY2017, it was $11.13 billion, up 33.0% from FY2016.
- Operating Interest Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 55.9% (FY2012 to FY2017).
- Going back by year, Operating Interest Expenses was $8.37 billion in FY2016 (+57.8%), $5.3 billion in FY2015 (+31.3%), $4.04 billion in FY2014 (+65.0%) and $2.45 billion in FY2013 (+102.8%).
- The five-year range for quarterly Operating Interest Expenses is $625 million (Q3 2013) to $3.01 billion (Q1 2018).
- Year-over-year, Operating Interest Expenses has increased for 20 consecutive quarters, with growth averaging 36.0% over the last eight quarters.
- The year-over-year growth in Operating Interest Expenses has ranged between 10.7% (Q4 2015) and 145.8% (Q1 2014) over the last five years.
- Business Quant data shows GM's Operating Interest Expenses at $3.01 billion (Q1 2018), $3 billion (Q4 2017) and $2.89 billion (Q3 2017) in the three quarters before Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,308.23 Bn | 1,134.26 Bn | 4.75 Bn | - |
| 2 | General Motors | 74.59 Bn | -30.02 Bn | 9.28 Bn | - |
| 3 | Ferrari | 71.20 Bn | 63.69 Bn | 1.18 Bn | - |
| 4 | Ford Motor | 49.18 Bn | -93.32 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | -336.46 Mn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.21 Bn | 12.24 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 15.34 Bn | -7.97 Bn | 179.00 Mn | - |
| 9 | Stellantis | 13.61 Bn | -147.82 Bn | 3.94 Bn | - |
| 10 | Li Auto | 11.21 Bn | -37.75 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 3.00 Bn |
| Mar 31, 2018 | 3.01 Bn |
| Dec 31, 2017 | 3.00 Bn |
| Sep 30, 2017 | 2.89 Bn |
| Jun 30, 2017 | 2.68 Bn |
| Mar 31, 2017 | 2.57 Bn |
| Dec 31, 2016 | 2.43 Bn |
| Sep 30, 2016 | 2.20 Bn |
| Jun 30, 2016 | 1.96 Bn |
| Mar 31, 2016 | 1.89 Bn |
| Dec 31, 2015 | 1.31 Bn |
| Sep 30, 2015 | 1.51 Bn |
| Jun 30, 2015 | 1.32 Bn |
| Mar 31, 2015 | 1.17 Bn |
| Dec 31, 2014 | 1.19 Bn |
| Sep 30, 2014 | 1.05 Bn |
| Jun 30, 2014 | 926.00 Mn |
| Mar 31, 2014 | 875.00 Mn |
| Dec 31, 2013 | 892.00 Mn |
| Sep 30, 2013 | 625.00 Mn |
API Access
General Motors Operating Interest 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=operating-interest-expenses&ticker=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "GM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();