Cellectis (CLLS) Total Non-Current Liabilities (2014 - 2026)
Cellectis (CLLS) recorded Total Non-Current Liabilities of $91.34 million in Q2 2026, up 2.1% from $89.42 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Cellectis (CLLS) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Cellectis reported Total Non-Current Liabilities of $103.07 million, up 19.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $86.24 million in FY2024 (-8.7%), $94.43 million in FY2023 (+30.6%), $72.28 million in FY2022 (-24.9%) and $96.25 million in FY2021 (-11.4%).
- Quarterly Total Non-Current Liabilities has ranged from $70.45 million in Q1 2023 to $105.45 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 49.7% in Q1 2024, against a decline of 24.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $94.77 million (Q1 2026), $103.07 million (Q4 2025) and $93.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Cellectis | 147.50 Mn | -605.90 Mn | - | 91.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.34 Mn |
| Mar 31, 2026 | 94.77 Mn |
| Dec 31, 2025 | 103.07 Mn |
| Sep 30, 2025 | 93.99 Mn |
| Jun 30, 2025 | 89.42 Mn |
| Mar 31, 2025 | 85.31 Mn |
| Dec 31, 2024 | 86.24 Mn |
| Sep 30, 2024 | 100.80 Mn |
| Jun 30, 2024 | 98.90 Mn |
| Mar 31, 2024 | 105.45 Mn |
| Dec 31, 2023 | 94.43 Mn |
| Sep 30, 2023 | 89.63 Mn |
| Jun 30, 2023 | 89.07 Mn |
| Mar 31, 2023 | 70.45 Mn |
| Dec 31, 2022 | 72.28 Mn |
| Sep 30, 2022 | 80.94 Mn |
| Jun 30, 2022 | 85.08 Mn |
| Mar 31, 2022 | 91.80 Mn |
| Dec 31, 2021 | 96.25 Mn |
| Sep 30, 2021 | 101.14 Mn |
API Access
Cellectis Total Non-Current 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-non-current-liabilities&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();