Corvus Pharmaceuticals (CRVS) Return on Capital Employed [ROCE] (2016 - 2026)
Corvus Pharmaceuticals (CRVS) posted Return on Capital Employed [ROCE] of -23.65% for Q2 2026, up 26.95 percentage points from -50.61% a year earlier and up 6.76 percentage points from the prior quarter.
Corvus Pharmaceuticals (CRVS) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2023, Corvus Pharmaceuticals' Return on Capital Employed [ROCE] came in at -46.79%, down 5.09 percentage points from FY2022.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +2.69 percentage points (FY2018 to FY2023).
- In prior years, Corvus Pharmaceuticals' Return on Capital Employed [ROCE] was -41.70% in FY2022 (+2.30 pp), -44.00% in FY2021 (+16.41 pp), -60.41% in FY2020 (-6.55 pp) and -53.85% in FY2019 (-4.37 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q3 2016.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last six quarters, with an average year-over-year change of +11.60 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2025, with a gain of 114.78 percentage points; the weakest was Q3 2024, with a drop of 115.10 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Corvus Pharmaceuticals | 916.92 Mn | 405.36 Mn | - | -23.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.65% |
| Mar 31, 2026 | -30.41% |
| Sep 30, 2025 | -49.43% |
| Jun 30, 2025 | -50.61% |
| Mar 31, 2025 | -53.49% |
| Sep 30, 2024 | -164.21% |
| Jun 30, 2024 | -60.02% |
| Mar 31, 2024 | -63.95% |
| Dec 31, 2023 | -55.89% |
| Sep 30, 2023 | -49.11% |
| Jun 30, 2023 | -60.35% |
| Mar 31, 2023 | -57.76% |
| Dec 31, 2022 | -51.25% |
| Sep 30, 2022 | -46.52% |
| Jun 30, 2022 | -34.90% |
| Mar 31, 2022 | -35.96% |
| Dec 31, 2021 | -36.90% |
| Sep 30, 2021 | -40.46% |
| Jun 30, 2021 | -43.83% |
| Mar 31, 2021 | -50.29% |
Corvus Pharmaceuticals Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CRVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CRVS", "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-capital-employed-%5Broce%5D&ticker=CRVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();