Celularity (CELU) Total Liabilities (2018 - 2026)
Celularity (CELU) posted Total Liabilities of $131.7 million for Q2 2026, down 9.7% from $145.78 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Celularity (CELU) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Celularity's Total Liabilities came in at $145.39 million, up 17.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -31.5% (FY2020 to FY2025).
- In prior years, Celularity's Total Liabilities was $123.85 million in FY2024 (+20.3%), $102.93 million in FY2023 (-49.1%), $202.17 million in FY2022 (-35.8%) and $314.71 million in FY2021 (-67.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 11.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 35.4%; the weakest was Q4 2021, with a decline of 67.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $134.74 million (Q1 2026), $145.39 million (Q4 2025) and $134.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Celularity | 30.75 Mn | 23.50 Mn | 3.09 Mn | 131.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.70 Mn |
| Mar 31, 2026 | 134.74 Mn |
| Dec 31, 2025 | 145.39 Mn |
| Sep 30, 2025 | 134.33 Mn |
| Jun 30, 2025 | 145.78 Mn |
| Mar 31, 2025 | 134.38 Mn |
| Dec 31, 2024 | 123.85 Mn |
| Sep 30, 2024 | 111.56 Mn |
| Jun 30, 2024 | 107.68 Mn |
| Mar 31, 2024 | 112.57 Mn |
| Dec 31, 2023 | 102.93 Mn |
| Sep 30, 2023 | 126.95 Mn |
| Jun 30, 2023 | 127.92 Mn |
| Mar 31, 2023 | 206.79 Mn |
| Dec 31, 2022 | 202.17 Mn |
| Sep 30, 2022 | 272.88 Mn |
| Jun 30, 2022 | 279.19 Mn |
| Mar 31, 2022 | 344.30 Mn |
| Dec 31, 2021 | 314.71 Mn |
| Sep 30, 2021 | 352.07 Mn |
API Access
Celularity Total 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-liabilities&ticker=CELU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();