Coherus Oncology (CHRS) Return on Sales [ROS] (2013 - 2026)
Coherus Oncology (CHRS) recorded Return on Sales [ROS] of -225.98% in Q2 2026, up 217.61 percentage points from -443.59% a year earlier and up 67.69 percentage points from the prior quarter.
Coherus Oncology (CHRS) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a TTM basis, Coherus Oncology's Return on Sales [ROS] came in at -311.56% as of Jun 30, 2026, up 267.37 percentage points year-over-year; for FY2025, it was -429.51%, up 327.06 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -462.36 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -756.58% in FY2024 (-677.59 pp), -78.99% in FY2023 (+42.73 pp), -121.72% in FY2022 (-40.92 pp) and -80.80% in FY2021 (-113.65 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +272.18 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2339.14 percentage points in Q1 2025, against a drop of 2728.19 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -293.67% (Q1 2026), -359.90% (Q4 2025) and -383.14% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 28.37% |
| 10 | Coherus Oncology | 155.59 Mn | -480.55 Mn | 10.07 Mn | -225.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -225.98% |
| Mar 31, 2026 | -293.67% |
| Dec 31, 2025 | -359.90% |
| Sep 30, 2025 | -383.14% |
| Jun 30, 2025 | -443.59% |
| Mar 31, 2025 | -597.91% |
| Dec 31, 2024 | -586.89% |
| Sep 30, 2024 | -774.22% |
| Jun 30, 2024 | -384.87% |
| Mar 31, 2024 | -2,937.05% |
| Dec 31, 2023 | -75.29% |
| Sep 30, 2023 | -42.92% |
| Jun 30, 2023 | -58.83% |
| Mar 31, 2023 | -208.86% |
| Dec 31, 2022 | -113.54% |
| Sep 30, 2022 | -177.11% |
| Jun 30, 2022 | -73.17% |
| Mar 31, 2022 | -134.62% |
| Dec 31, 2021 | -53.91% |
| Sep 30, 2021 | -39.74% |
Coherus Oncology Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CHRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();