Arcus Biosciences (RCUS) Other Accumulated Expenses (2017 - 2026)
Arcus Biosciences (RCUS) posted Other Accumulated Expenses of $145 million for Q2 2026, up 31.8% from $110 million a year earlier and up 6.6% from the prior quarter.
Powered by 
Analysis
Arcus Biosciences (RCUS) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Arcus Biosciences' Other Accumulated Expenses came in at $154 million, up 25.2% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- In prior years, Arcus Biosciences' Other Accumulated Expenses was $123 million in FY2024 (+61.8%), $76 million in FY2023 (unchanged), $76 million in FY2022 (+40.7%) and $54 million in FY2021 (+195.0%).
- Quarterly Other Accumulated Expenses has run from a low of $35.02 million in Q2 2022 to a high of $154 million in Q4 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last ten quarters, with growth averaging 41.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2021, with growth of 195.0%; the weakest was Q3 2022, with a decline of 1.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $136 million (Q1 2026), $154 million (Q4 2025) and $141 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 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 |
|---|---|
| Jun 30, 2026 | 145.00 Mn |
| Mar 31, 2026 | 136.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 141.00 Mn |
| Jun 30, 2025 | 110.00 Mn |
| Mar 31, 2025 | 98.00 Mn |
| Dec 31, 2024 | 123.00 Mn |
| Sep 30, 2024 | 97.00 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | 64.00 Mn |
| Dec 31, 2023 | 76.00 Mn |
| Sep 30, 2023 | 80.00 Mn |
| Jun 30, 2023 | 65.00 Mn |
| Mar 31, 2023 | 54.00 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 39.83 Mn |
| Jun 30, 2022 | 35.02 Mn |
| Mar 31, 2022 | 37.65 Mn |
| Dec 31, 2021 | 54.00 Mn |
| Sep 30, 2021 | 40.47 Mn |
API Access
Arcus Biosciences Other 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=other-accumulated-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();