Coherus Oncology (CHRS) Total Liabilities (2013 - 2026)
Coherus Oncology's Total Liabilities came in at $130.35 million for Q2 2026, down 59.2% from $319.64 million a year earlier and down 30.4% from the prior quarter.
Coherus Oncology (CHRS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Coherus Oncology's Total Liabilities was $197.33 million, down 66.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $580.52 million in FY2024 (-29.5%), $823.03 million in FY2023 (+33.1%), $618.27 million in FY2022 (+6.3%) and $581.61 million in FY2021 (+3.7%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q3 2018.
- Year-over-year, Total Liabilities has declined for eight consecutive quarters, with an average decline of 44.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2024 (growth of 41.1%), and the weakest in Q1 2026 (a decline of 66.2%).
- Business Quant data shows CHRS's Total Liabilities at $187.4 million (Q1 2026), $197.33 million (Q4 2025) and $428.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Coherus Oncology | 155.59 Mn | -480.55 Mn | 10.07 Mn | 130.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.35 Mn |
| Mar 31, 2026 | 187.40 Mn |
| Dec 31, 2025 | 197.33 Mn |
| Sep 30, 2025 | 428.75 Mn |
| Jun 30, 2025 | 319.64 Mn |
| Mar 31, 2025 | 554.54 Mn |
| Dec 31, 2024 | 580.52 Mn |
| Sep 30, 2024 | 592.97 Mn |
| Jun 30, 2024 | 758.96 Mn |
| Mar 31, 2024 | 845.39 Mn |
| Dec 31, 2023 | 823.03 Mn |
| Sep 30, 2023 | 717.38 Mn |
| Jun 30, 2023 | 644.36 Mn |
| Mar 31, 2023 | 598.93 Mn |
| Dec 31, 2022 | 618.27 Mn |
| Sep 30, 2022 | 648.04 Mn |
| Jun 30, 2022 | 568.63 Mn |
| Mar 31, 2022 | 580.82 Mn |
| Dec 31, 2021 | 581.61 Mn |
| Sep 30, 2021 | 610.97 Mn |
Coherus Oncology Total 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-liabilities&ticker=CHRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CHRS", "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-liabilities&ticker=CHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();