Arcus Biosciences (RCUS) Operating Leases (2020 - 2022)
Arcus Biosciences (RCUS) posted Operating Leases of $119.2 million for Q3 2022, up 143.5% from $48.94 million a year earlier but down 1.8% from the prior quarter.
Arcus Biosciences (RCUS) Operating Leases (2020 - 2022) Analysis & Trends
At the end of FY2021, Arcus Biosciences' Operating Leases came in at $116.89 million, up 666.8% from FY2020.
- In prior years, Arcus Biosciences' Operating Leases was $15.24 million in FY2020.
- Quarterly Operating Leases has run from a low of $14.71 million in Q1 2021 to a high of $121.34 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last four quarters, with growth averaging 408.8% over the last four quarters.
- According to Business Quant data, Operating Leases for the three prior quarters was $121.34 million (Q2 2022), $114.82 million (Q1 2022) and $116.89 million (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Arcus Biosciences | 3.00 Bn | -337.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 119.20 Mn |
| Jun 30, 2022 | 121.34 Mn |
| Mar 31, 2022 | 114.82 Mn |
| Dec 31, 2021 | 116.89 Mn |
| Sep 30, 2021 | 48.94 Mn |
| Jun 30, 2021 | 49.74 Mn |
| Mar 31, 2021 | 14.71 Mn |
| Dec 31, 2020 | 15.24 Mn |
Arcus Biosciences 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=RCUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "RCUS", "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=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();