Coherus Oncology (CHRS) Cost of Revenue (2019 - 2026)
Coherus Oncology (CHRS) posted Cost of Revenue of $4.24 million for Q2 2026, up 24.9% from $3.4 million a year earlier and up 11.2% from the prior quarter.
Coherus Oncology (CHRS) Cost of Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Coherus Oncology was $15.82 million, up 37.3% year-over-year; for FY2025, it came in at $13.81 million, up 58.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -18.2% (FY2020 to FY2025).
- In prior years, Coherus Oncology's Cost of Revenue was $8.73 million in FY2024 (-94.5%), $158.99 million in FY2023 (+126.9%), $70.08 million in FY2022 (+21.7%) and $57.59 million in FY2021 (+52.9%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2023.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 17.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2023, with growth of 495.5%; the weakest was Q4 2024, with a decline of 96.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.81 million (Q1 2026), $4.05 million (Q4 2025) and $3.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Coherus Oncology | 155.59 Mn | -480.55 Mn | 10.07 Mn | 4.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 3.81 Mn |
| Dec 31, 2025 | 4.05 Mn |
| Sep 30, 2025 | 3.72 Mn |
| Jun 30, 2025 | 3.40 Mn |
| Mar 31, 2025 | 2.65 Mn |
| Dec 31, 2024 | 2.75 Mn |
| Sep 30, 2024 | 2.73 Mn |
| Jun 30, 2024 | 1.81 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 84.57 Mn |
| Sep 30, 2023 | 32.70 Mn |
| Jun 30, 2023 | 24.85 Mn |
| Mar 31, 2023 | 16.87 Mn |
| Dec 31, 2022 | 14.20 Mn |
| Sep 30, 2022 | 35.23 Mn |
| Jun 30, 2022 | 11.28 Mn |
| Mar 31, 2022 | 9.37 Mn |
| Dec 31, 2021 | 12.10 Mn |
| Sep 30, 2021 | 21.28 Mn |
Coherus Oncology Cost of Revenue 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=cost-of-revenue&ticker=CHRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();