Cellectis (CLLS) Total Liabilities (2014 - 2026)
Cellectis' Total Liabilities was $226.3 million in Q2 2026, down 11.9% from $256.86 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Cellectis (CLLS) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Cellectis came in at $248.82 million, down 1.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $252.51 million in FY2024 (+1.2%), $249.58 million in FY2023 (+84.5%), $135.28 million in FY2022 (-7.1%) and $145.6 million in FY2021 (-9.4%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2023.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with growth averaging 8.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2024 (growth of 101.6%); the worst was Q2 2022 (a decline of 22.8%).
- Per Business Quant data, CLLS's Total Liabilities in the three quarters before Q2 2026 was $229.27 million (Q1 2026), $248.82 million (Q4 2025) and $242.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Cellectis | 148.50 Mn | -604.89 Mn | - | 226.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.30 Mn |
| Mar 31, 2026 | 229.27 Mn |
| Dec 31, 2025 | 248.82 Mn |
| Sep 30, 2025 | 242.57 Mn |
| Jun 30, 2025 | 256.86 Mn |
| Mar 31, 2025 | 247.88 Mn |
| Dec 31, 2024 | 252.51 Mn |
| Sep 30, 2024 | 266.45 Mn |
| Jun 30, 2024 | 258.54 Mn |
| Mar 31, 2024 | 263.89 Mn |
| Dec 31, 2023 | 249.58 Mn |
| Sep 30, 2023 | 133.58 Mn |
| Jun 30, 2023 | 131.12 Mn |
| Mar 31, 2023 | 130.92 Mn |
| Dec 31, 2022 | 135.28 Mn |
| Sep 30, 2022 | 133.97 Mn |
| Jun 30, 2022 | 140.36 Mn |
| Mar 31, 2022 | 144.14 Mn |
| Dec 31, 2021 | 145.60 Mn |
| Sep 30, 2021 | 150.74 Mn |
API Access
Cellectis Total Liabilities 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=total-liabilities&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();