Arcus Biosciences (RCUS) Operating Expenses (2017 - 2026)
Arcus Biosciences (RCUS) reported Operating Expenses of $137 million for Q2 2026, down 18.5% from $168 million a year earlier and down 9.3% from the prior quarter.
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Analysis
Arcus Biosciences (RCUS) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arcus Biosciences' Operating Expenses came in at $603 million, up 0.5% year-over-year; for FY2025, it was $633 million, up 7.7% from FY2024.
- Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $588 million in FY2024 (+28.7%), $457 million in FY2023 (+16.6%), $392 million in FY2022 (+19.1%) and $329 million in FY2021 (+62.9%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 7.2%.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 46.7%); the low point was Q2 2026 (a decline of 18.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $151 million (Q1 2026), $147 million (Q4 2025) and $168 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Arcus Biosciences | 3.18 Bn | -157.19 Mn | - | 137.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.00 Mn |
| Mar 31, 2026 | 151.00 Mn |
| Dec 31, 2025 | 147.00 Mn |
| Sep 30, 2025 | 168.00 Mn |
| Jun 30, 2025 | 168.00 Mn |
| Mar 31, 2025 | 150.00 Mn |
| Dec 31, 2024 | 129.00 Mn |
| Sep 30, 2024 | 153.00 Mn |
| Jun 30, 2024 | 145.00 Mn |
| Mar 31, 2024 | 161.00 Mn |
| Dec 31, 2023 | 122.00 Mn |
| Sep 30, 2023 | 112.00 Mn |
| Jun 30, 2023 | 112.00 Mn |
| Mar 31, 2023 | 111.00 Mn |
| Dec 31, 2022 | 108.00 Mn |
| Sep 30, 2022 | 103.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 85.00 Mn |
| Dec 31, 2021 | 73.60 Mn |
| Sep 30, 2021 | 87.60 Mn |
API Access
Arcus Biosciences Operating 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=operating-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();