Alcoa (AA) Operating Leases (2019)
Alcoa's Operating Leases came in at $100 million for Q4 2019.
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Analysis
Alcoa (AA) Operating Leases (2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.18 Bn | 141.97 Bn | 2.90 Bn |
| 3 | Rio Tinto | 142.50 Bn | 103.00 Bn | - |
| 4 | Newmont | 124.31 Bn | 92.31 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.05 Bn | 82.09 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.85 Bn | 83.48 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.37 Bn | 44.57 Bn | 2.90 Bn |
| 8 | Nucor | 60.10 Bn | 49.48 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.53 Bn | 27.56 Bn | - |
| 10 | Alcoa | 10.76 Bn | 4.98 Bn | 999.00 Mn |
API Access
Alcoa Operating Leases 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-leases&ticker=AA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AA", "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-leases&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();