Celularity (CELU) Total Non-Current Liabilities (2019 - 2026)
Celularity (CELU) recorded Total Non-Current Liabilities of $143.85 million in Q4 2025, up 19.3% from $120.58 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Celularity (CELU) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
Starting with Q4 2019, Celularity's Total Non-Current Liabilities history includes 22 quarters.
- Annual Total Non-Current Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -26.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $120.58 million in FY2024 (+22.3%), $98.57 million in FY2023 (+2.4%), $96.22 million in FY2022 (+16.6%) and $82.49 million in FY2021 (-88.0%).
- The Q4 2025 figure is the highest quarterly Total Non-Current Liabilities since Q2 2021.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 39.6% in Q2 2023, against a decline of 88.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $130.81 million (Q3 2025), $137 million (Q2 2025) and $126.32 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Celularity | 39.39 Mn | 31.87 Mn | 2.39 Mn | 133.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 133.11 Mn |
| Dec 31, 2025 | 143.85 Mn |
| Sep 30, 2025 | 130.81 Mn |
| Jun 30, 2025 | 137.00 Mn |
| Mar 31, 2025 | 126.32 Mn |
| Dec 31, 2024 | 120.58 Mn |
| Sep 30, 2024 | 107.16 Mn |
| Jun 30, 2024 | 99.60 Mn |
| Mar 31, 2024 | 97.48 Mn |
| Dec 31, 2023 | 98.57 Mn |
| Sep 30, 2023 | 123.21 Mn |
| Jun 30, 2023 | 121.64 Mn |
| Mar 31, 2023 | 119.78 Mn |
| Dec 31, 2022 | 96.22 Mn |
| Sep 30, 2022 | 114.10 Mn |
| Jun 30, 2022 | 87.16 Mn |
| Mar 31, 2022 | 107.23 Mn |
| Dec 31, 2021 | 82.49 Mn |
| Sep 30, 2021 | 96.55 Mn |
| Jun 30, 2021 | 747.27 Mn |
API Access
Celularity 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=CELU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CELU", "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=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();