Cellectis (CLLS) Non-Current Debt (2015 - 2026)
Cellectis (CLLS) recorded Non-Current Debt of $66.19 million in Q2 2026, up 18.5% from $55.86 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Cellectis (CLLS) Non-Current Debt (2015 - 2026) Analysis & Trends
At the end of FY2025, Cellectis reported Non-Current Debt of $74.01 million, up 45.5% from FY2024.
- Annual Non-Current Debt has increased for four straight years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $50.88 million in FY2024 (+3.6%), $49.13 million in FY2023 (+139.3%), $20.53 million in FY2022 (+2.5%) and $20.03 million in FY2021 (-30.5%).
- Quarterly Non-Current Debt has ranged from $14.7 million in Q3 2022 to $74.01 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Debt has increased for four consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 219.1% in Q1 2024, against a decline of 35.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $67.5 million (Q1 2026), $74.01 million (Q4 2025) and $63.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Cellectis | 148.50 Mn | -604.89 Mn | - | 66.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.19 Mn |
| Mar 31, 2026 | 67.50 Mn |
| Dec 31, 2025 | 74.01 Mn |
| Sep 30, 2025 | 63.40 Mn |
| Jun 30, 2025 | 55.86 Mn |
| Mar 31, 2025 | 51.04 Mn |
| Dec 31, 2024 | 50.88 Mn |
| Sep 30, 2024 | 61.58 Mn |
| Jun 30, 2024 | 58.35 Mn |
| Mar 31, 2024 | 62.62 Mn |
| Dec 31, 2023 | 49.13 Mn |
| Sep 30, 2023 | 43.25 Mn |
| Jun 30, 2023 | 40.27 Mn |
| Mar 31, 2023 | 19.63 Mn |
| Dec 31, 2022 | 20.53 Mn |
| Sep 30, 2022 | 14.70 Mn |
| Jun 30, 2022 | 15.64 Mn |
| Mar 31, 2022 | 18.35 Mn |
| Dec 31, 2021 | 20.03 Mn |
| Sep 30, 2021 | 22.77 Mn |
API Access
Cellectis Non-Current Debt 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=non-current-debt&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();