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.
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Analysis
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 Set
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 | Cellectis | 143.49 Mn | -609.91 Mn | - | -21.42% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.42% |
| Mar 31, 2026 | -14.78% |
| Dec 31, 2025 | -10.23% |
| Sep 30, 2025 | -7.99% |
| Jun 30, 2025 | -23.60% |
| Mar 31, 2025 | -14.80% |
| Dec 31, 2024 | -15.94% |
| Sep 30, 2024 | -19.80% |
| Jun 30, 2024 | -39.95% |
| Mar 31, 2024 | -27.94% |
| Dec 31, 2023 | -36.48% |
| Sep 30, 2023 | -42.00% |
| Jun 30, 2023 | -40.54% |
| Mar 31, 2023 | -33.35% |
| Dec 31, 2022 | -33.75% |
| Sep 30, 2022 | -37.42% |
| Jun 30, 2022 | -44.29% |
| Mar 31, 2022 | -37.96% |
| Dec 31, 2021 | -31.46% |
| Sep 30, 2021 | -15.71% |
API Access
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_KEYimport 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();