NewcelX (NCEL) Total Debt (2019 - 2026)
NewcelX's Total Debt came in at $392,000 for Q2 2026.
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Analysis
NewcelX (NCEL) Total Debt (2019 - 2026) Analysis & Trends
At the end of FY2025, NewcelX's Total Debt was $355,000, down 69.2% from FY2024.
- Total Debt carries a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- Going back by year, Total Debt was $1.15 million in FY2024 (-40.4%), $1.93 million in FY2023 (+59.3%), $1.21 million in FY2022 and -$277,537 in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Debt since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | NewcelX | 11.22 Mn | 11.22 Mn | - | 392,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 392,000.00 |
| Dec 31, 2025 | 355,000.00 |
| Dec 31, 2024 | 1.15 Mn |
| Jun 30, 2024 | 518,285.00 |
| Dec 31, 2023 | 1.93 Mn |
| Jun 30, 2023 | 318,000.00 |
| Dec 31, 2022 | 1.21 Mn |
| Jun 30, 2022 | 354,336.00 |
| Dec 31, 2021 | -277,537.00 |
| Jun 30, 2021 | 186,443.00 |
| Dec 31, 2020 | 1.00 Mn |
| Dec 31, 2019 | 690,071.00 |
API Access
NewcelX 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=NCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "NCEL", "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=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();