Abpro Holdings (ABPO) Operating Leases (2023)
Abpro Holdings' Operating Leases was $455,000 in Q4 2023.
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Analysis
Abpro Holdings (ABPO) Operating Leases (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.69 Bn | 1,103.27 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.29 Bn | 534.82 Bn | 17.26 Bn |
| 3 | AbbVie | 500.86 Bn | 473.97 Bn | 12.70 Bn |
| 4 | Merck | 366.77 Bn | 321.15 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.69 Bn | 261.68 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn |
| 7 | Amgen | 235.52 Bn | 190.92 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.49 Bn | 164.69 Bn | 6.22 Bn |
| 9 | Pfizer | 169.46 Bn | 116.11 Bn | 10.94 Bn |
| 10 | Abpro Holdings | 2.36 Mn | -7.68 Mn | - |
API Access
Abpro 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=ABPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ABPO", "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=ABPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();