Coherus Oncology (CHRS) Operating Expenses (2013 - 2026)
Coherus Oncology (CHRS) recorded Operating Expenses of $46.64 million in Q2 2026, down 16.3% from $55.74 million a year earlier and down 3.8% from the prior quarter.
Powered by 
Analysis
Coherus Oncology (CHRS) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Coherus Oncology's Operating Expenses came in at $209.63 million as of Jun 30, 2026, down 2.4% year-over-year; for FY2025, it was $223.31 million, down 1.2% from FY2024.
- Annual Operating Expenses has declined for four straight years, with a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $226.04 million in FY2024 (-50.9%), $460.44 million in FY2023 (-1.6%), $467.92 million in FY2022 (-20.7%) and $590.41 million in FY2021 (+84.8%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q2 2018.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 17.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 65.7% in Q4 2023, against a decline of 66.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.46 million (Q1 2026), $58.63 million (Q4 2025) and $55.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Coherus Oncology | 155.59 Mn | -480.55 Mn | 10.07 Mn | 46.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.64 Mn |
| Mar 31, 2026 | 48.46 Mn |
| Dec 31, 2025 | 58.63 Mn |
| Sep 30, 2025 | 55.90 Mn |
| Jun 30, 2025 | 55.74 Mn |
| Mar 31, 2025 | 53.03 Mn |
| Dec 31, 2024 | 53.12 Mn |
| Sep 30, 2024 | 52.91 Mn |
| Jun 30, 2024 | 49.92 Mn |
| Mar 31, 2024 | 70.10 Mn |
| Dec 31, 2023 | 160.43 Mn |
| Sep 30, 2023 | 106.57 Mn |
| Jun 30, 2023 | 93.26 Mn |
| Mar 31, 2023 | 100.18 Mn |
| Dec 31, 2022 | 96.85 Mn |
| Sep 30, 2022 | 125.87 Mn |
| Jun 30, 2022 | 104.16 Mn |
| Mar 31, 2022 | 141.04 Mn |
| Dec 31, 2021 | 112.92 Mn |
| Sep 30, 2021 | 115.29 Mn |
API Access
Coherus Oncology 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=CHRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();