Cellectis (CLLS) Return on Capital Employed [ROCE] (2015 - 2026)
Cellectis' Return on Capital Employed [ROCE] came in at -21.42% for Q2 2026, up 2.18 percentage points from -23.60% a year earlier but down 6.64 percentage points from the prior quarter.
Cellectis (CLLS) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Cellectis' Return on Capital Employed [ROCE] was -9.62%, up 7.75 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +0.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -17.37% in FY2024 (+15.90 pp), -33.27% in FY2023 (-4.95 pp), -28.33% in FY2022 (-3.89 pp) and -24.44% in FY2021 (-14.08 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -44.29% (Q2 2022) to -7.99% (Q3 2025).
- Year-over-year, Return on Capital Employed [ROCE] has increased for ten consecutive quarters, with an average year-over-year change of +11.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 22.19 percentage points), and the weakest in Q2 2022 (a drop of 32.36 percentage points).
- Business Quant data shows CLLS's Return on Capital Employed [ROCE] at -14.78% (Q1 2026), -10.23% (Q4 2025) and -7.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Cellectis | 111.38 Mn | -642.02 Mn | - | -40.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.47% |
| Mar 31, 2026 | -25.55% |
| Dec 31, 2025 | -17.58% |
| Sep 30, 2025 | -13.21% |
| Jun 30, 2025 | -23.60% |
| Mar 31, 2025 | -25.01% |
| Dec 31, 2024 | -26.65% |
| Sep 30, 2024 | -33.26% |
| Jun 30, 2024 | -39.95% |
| Mar 31, 2024 | -50.97% |
| Dec 31, 2023 | -83.28% |
| Sep 30, 2023 | -42.00% |
| Jun 30, 2023 | -40.54% |
| Mar 31, 2023 | -39.29% |
| Dec 31, 2022 | -40.29% |
| Sep 30, 2022 | -43.87% |
| Jun 30, 2022 | -44.29% |
| Mar 31, 2022 | -42.79% |
| Dec 31, 2021 | -35.71% |
| Sep 30, 2021 | -36.02% |
Cellectis 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=CLLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CLLS", "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=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();