Celularity (CELU) Total Non-Current Liabilities (2019 - 2026)
Celularity (CELU) recorded Total Non-Current Liabilities of $129.46 million in Q2 2026, down 4.3% from $135.31 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Celularity (CELU) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Celularity reported Total Non-Current Liabilities of $142.17 million, up 19.6% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -25.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $118.89 million in FY2024 (+23.0%), $96.67 million in FY2023 (+4.7%), $92.3 million in FY2022 (+64.3%) and $56.19 million in FY2021 (-90.8%).
- Quarterly Total Non-Current Liabilities has ranged from $56.19 million in Q4 2021 to $142.17 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 15.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 101.2% in Q1 2023, against a decline of 93.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $131.43 million (Q1 2026), $142.17 million (Q4 2025) and $129.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.19 Bn | 1,108.77 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 634.59 Bn | 554.45 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 499.62 Bn | 472.73 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 354.90 Bn | 309.28 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 300.00 Bn | 263.99 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 263.32 Bn | 237.01 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 238.09 Bn | 193.49 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.99 Bn | 168.19 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.34 Bn | 116.99 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Celularity | 28.36 Mn | 21.11 Mn | 3.09 Mn | 129.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.46 Mn |
| Mar 31, 2026 | 131.43 Mn |
| Dec 31, 2025 | 142.17 Mn |
| Sep 30, 2025 | 129.13 Mn |
| Jun 30, 2025 | 135.31 Mn |
| Mar 31, 2025 | 124.63 Mn |
| Dec 31, 2024 | 118.89 Mn |
| Sep 30, 2024 | 105.27 Mn |
| Jun 30, 2024 | 97.70 Mn |
| Mar 31, 2024 | 95.58 Mn |
| Dec 31, 2023 | 96.67 Mn |
| Sep 30, 2023 | 121.31 Mn |
| Jun 30, 2023 | 119.72 Mn |
| Mar 31, 2023 | 117.59 Mn |
| Dec 31, 2022 | 92.30 Mn |
| Sep 30, 2022 | 99.27 Mn |
| Jun 30, 2022 | 62.80 Mn |
| Mar 31, 2022 | 58.44 Mn |
| Dec 31, 2021 | 56.19 Mn |
| Sep 30, 2021 | 59.02 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();