Cellectis (CLLS) Total Debt (2014 - 2026)
Cellectis (CLLS) reported Total Debt of $66.19 million for Q2 2026, up 18.5% from $55.86 million a year earlier but down 1.9% from the prior quarter.
Analysis
Cellectis (CLLS) Total Debt (2014 - 2026) Analysis & Trends
At the end of FY2025, Cellectis posted Total Debt of $74.01 million, up 45.5% from FY2024.
- Total Debt has a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- By year, Total Debt came in at $50.88 million in FY2024 (-14.1%), $59.22 million in FY2023 (+188.5%), $20.53 million in FY2022 (+2.5%) and $20.03 million in FY2021 (-30.5%).
- Five-year quarterly Total Debt spans a low of $14.7 million in Q3 2022 and a high of $159.83 million in Q3 2024.
- Year over year, Total Debt has now increased in each of the last three quarters, with growth averaging 26.1% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q2 2024 (growth of 285.0%); the low point was Q2 2025 (a decline of 64.0%).
- Per Business Quant data, the three quarters before Q2 2026 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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Cellectis | 111.38 Mn | -642.02 Mn | - | 73.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.69 Mn |
| Mar 31, 2026 | 76.40 Mn |
| Dec 31, 2025 | 84.47 Mn |
| Sep 30, 2025 | 81.64 Mn |
| Jun 30, 2025 | 74.09 Mn |
| Mar 31, 2025 | 67.82 Mn |
| Dec 31, 2024 | 67.02 Mn |
| Sep 30, 2024 | 66.93 Mn |
| Jun 30, 2024 | 63.47 Mn |
| Mar 31, 2024 | 67.79 Mn |
| Dec 31, 2023 | 54.41 Mn |
| Sep 30, 2023 | 48.31 Mn |
| Jun 30, 2023 | 45.46 Mn |
| Mar 31, 2023 | 24.81 Mn |
| Dec 31, 2022 | 25.62 Mn |
| Sep 30, 2022 | 25.08 Mn |
| Jun 30, 2022 | 26.95 Mn |
| Mar 31, 2022 | 30.95 Mn |
| Dec 31, 2021 | 22.38 Mn |
| Sep 30, 2021 | 22.77 Mn |
API Access
Cellectis Total 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=total-debt&ticker=CLLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();