Arcus Biosciences (RCUS) Change in Accured Expenses (2017 - 2022)
Arcus Biosciences' Change in Accured Expenses was $6.09 million in Q3 2022, up 23.8% from $4.92 million a year earlier.
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Analysis
Arcus Biosciences (RCUS) Change in Accured Expenses (2017 - 2022) Analysis & Trends
On a trailing twelve-month basis, Arcus Biosciences' Change in Accured Expenses was $926,000 through Sep 30, 2022, down 87.1% year-over-year; for FY2021, it was $10.14 million, up 120.7% from FY2020.
- Change in Accured Expenses shows a five-year compound annual growth rate of 65.8% (FY2016 to FY2021).
- In earlier years, Change in Accured Expenses was $4.59 million in FY2020 (+163.5%), $1.74 million in FY2019 (-7.0%), $1.87 million in FY2018 (+18.5%) and $1.58 million in FY2017 (+95.8%).
- The Q3 2022 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2017.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last five quarters, with growth averaging 84.6%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q1 2019 (growth of 291.7%); the worst was Q3 2019 (a decline of 47.8%).
- Per Business Quant data, RCUS's Change in Accured Expenses in the three quarters before Q3 2022 was -$1.76 million (Q2 2022), -$8.46 million (Q1 2022) and $5.06 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Arcus Biosciences | 3.11 Bn | -229.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 6.09 Mn |
| Jun 30, 2022 | -1.76 Mn |
| Mar 31, 2022 | -8.46 Mn |
| Dec 31, 2021 | 5.06 Mn |
| Sep 30, 2021 | 4.92 Mn |
| Jun 30, 2021 | 2.17 Mn |
| Mar 31, 2021 | -2.01 Mn |
| Dec 31, 2020 | 2.11 Mn |
| Sep 30, 2020 | 1.82 Mn |
| Jun 30, 2020 | 2.24 Mn |
| Mar 31, 2020 | -1.58 Mn |
| Dec 31, 2019 | 1.09 Mn |
| Sep 30, 2019 | 1.22 Mn |
| Jun 30, 2019 | -2.17 Mn |
| Mar 31, 2019 | 1.61 Mn |
| Dec 31, 2018 | -2.27 Mn |
| Sep 30, 2018 | 2.33 Mn |
| Jun 30, 2018 | 1.40 Mn |
| Mar 31, 2018 | 410,000.00 |
| Dec 31, 2017 | 971,000.00 |
API Access
Arcus Biosciences Change in Accured 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=change-in-accured-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();