Arcus Biosciences (RCUS) Total Non-Current Liabilities (2017 - 2026)
Arcus Biosciences (RCUS) reported Total Non-Current Liabilities of $336 million for Q2 2026, down 8.4% from $367 million a year earlier and down 5.1% from the prior quarter.
Arcus Biosciences (RCUS) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Arcus Biosciences posted Total Non-Current Liabilities of $373 million, down 26.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $508 million in FY2024 (+3.5%), $491 million in FY2023 (-10.4%), $548 million in FY2022 (-12.7%) and $628 million in FY2021 (+132.8%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last five quarters, with an average decline of 11.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 181.6%); the low point was Q1 2023 (a decline of 30.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $354 million (Q1 2026), $373 million (Q4 2025) and $386 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Arcus Biosciences | 3.00 Bn | -337.34 Mn | - | 336.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 336.00 Mn |
| Mar 31, 2026 | 354.00 Mn |
| Dec 31, 2025 | 373.00 Mn |
| Sep 30, 2025 | 386.00 Mn |
| Jun 30, 2025 | 367.00 Mn |
| Mar 31, 2025 | 459.00 Mn |
| Dec 31, 2024 | 508.00 Mn |
| Sep 30, 2024 | 551.00 Mn |
| Jun 30, 2024 | 413.00 Mn |
| Mar 31, 2024 | 446.00 Mn |
| Dec 31, 2023 | 491.00 Mn |
| Sep 30, 2023 | 526.00 Mn |
| Jun 30, 2023 | 510.00 Mn |
| Mar 31, 2023 | 509.00 Mn |
| Dec 31, 2022 | 548.00 Mn |
| Sep 30, 2022 | 678.66 Mn |
| Jun 30, 2022 | 715.09 Mn |
| Mar 31, 2022 | 732.55 Mn |
| Dec 31, 2021 | 628.00 Mn |
| Sep 30, 2021 | 286.48 Mn |
Arcus Biosciences Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RCUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();