Group 1 Automotive (GPI) Non Operating Interest Expenses (2012 - 2021)
Group 1 Automotive's Non Operating Interest Expenses came in at $1 million for Q2 2021.
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Analysis
Group 1 Automotive (GPI) Non Operating Interest Expenses (2012 - 2021) Analysis & Trends
Over the trailing twelve months to Jun 30, 2021, Group 1 Automotive reported Non Operating Interest Expenses of $2.28 million.
- The Q2 2021 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,709.37 Bn | 2,226.07 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 321.77 Bn | 315.01 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 162.17 Bn | 139.71 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.30 Bn | 106.27 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.78 Bn | 73.87 Bn | 2.52 Bn | 69.87 Mn |
| 6 | Ross Stores | 74.65 Bn | 57.57 Bn | 2.12 Bn | - |
| 7 | Target | 70.51 Bn | 65.10 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.02 Bn | 32.51 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Group 1 Automotive | 2.80 Bn | 2.53 Bn | 860.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 1.00 Mn |
| Sep 30, 2015 | 430,000.00 |
| Jun 30, 2015 | 406,000.00 |
| Mar 31, 2015 | 439,000.00 |
| Sep 30, 2014 | 416,000.00 |
| Jun 30, 2014 | 367,000.00 |
| Mar 31, 2014 | 355,000.00 |
| Sep 30, 2013 | 324,000.00 |
| Jun 30, 2013 | 293,000.00 |
| Mar 31, 2013 | 313,000.00 |
| Sep 30, 2012 | -306,000.00 |
| Jun 30, 2012 | -287,000.00 |
| Mar 31, 2012 | -263,000.00 |
API Access
Group 1 Automotive Non 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=non-operating-interest-expenses&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GPI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();