Arcus Biosciences (RCUS) Accumulated Expenses (2017 - 2022)
Arcus Biosciences (RCUS) posted Accumulated Expenses of $20.53 million for Q3 2022, up 40.4% from $14.63 million a year earlier and up 42.2% from the prior quarter.
Powered by 
Analysis
Arcus Biosciences (RCUS) Accumulated Expenses (2017 - 2022) Analysis & Trends
At the end of FY2021, Arcus Biosciences' Accumulated Expenses came in at $24.18 million, up 153.4% from FY2020.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of 66.6% (FY2017 to FY2021).
- In prior years, Arcus Biosciences' Accumulated Expenses was $9.54 million in FY2020 (+92.8%), $4.95 million in FY2019 (-17.8%), $6.02 million in FY2018 (+92.0%) and $3.14 million in FY2017.
- Quarterly Accumulated Expenses has run from a low of $3.14 million in Q4 2017 to a high of $24.18 million in Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 74.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2019, with growth of 258.2%; the weakest was Q2 2020, with a decline of 63.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $14.44 million (Q2 2022), $16.2 million (Q1 2022) and $24.18 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Arcus Biosciences | 3.28 Bn | -53.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 20.53 Mn |
| Jun 30, 2022 | 14.44 Mn |
| Mar 31, 2022 | 16.20 Mn |
| Dec 31, 2021 | 24.18 Mn |
| Sep 30, 2021 | 14.63 Mn |
| Jun 30, 2021 | 9.71 Mn |
| Mar 31, 2021 | 7.54 Mn |
| Dec 31, 2020 | 9.54 Mn |
| Sep 30, 2020 | 7.50 Mn |
| Jun 30, 2020 | 5.61 Mn |
| Mar 31, 2020 | 10.17 Mn |
| Dec 31, 2019 | 4.95 Mn |
| Sep 30, 2019 | 9.66 Mn |
| Jun 30, 2019 | 15.55 Mn |
| Mar 31, 2019 | 7.63 Mn |
| Dec 31, 2018 | 6.02 Mn |
| Sep 30, 2018 | 6.67 Mn |
| Jun 30, 2018 | 4.34 Mn |
| Mar 31, 2018 | 3.61 Mn |
| Dec 31, 2017 | 3.14 Mn |
API Access
Arcus Biosciences Accumulated 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=accumulated-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();