Oppenheimer Holdings (OPY) Operating Leases (2019)
Oppenheimer Holdings' Operating Leases came in at $203.14 million for Q4 2019.
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Analysis
Oppenheimer Holdings (OPY) Operating Leases (2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.71 Bn | - |
| 2 | Robinhood Markets | 88.68 Bn | 69.71 Bn | - |
| 3 | Intercontinental Exchange | 88.57 Bn | 82.31 Bn | - |
| 4 | Nasdaq | 53.40 Bn | 50.83 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 37.03 Bn | 14.14 Bn | - |
| 6 | Cboe Global Markets | 33.02 Bn | 24.67 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.82 Bn | 21.14 Bn | - |
| 8 | Tradeweb Markets | 25.34 Bn | 17.35 Bn | - |
| 9 | Circle Internet | 21.42 Bn | 15.30 Bn | 288.85 Mn |
| 10 | Oppenheimer Holdings | 1.08 Bn | -4.44 Bn | - |
API Access
Oppenheimer Holdings 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=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "OPY", "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=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();