Celularity (CELU) Total Liabilities (2018 - 2026)
Celularity (CELU) posted Total Liabilities of $145.39 million for Q4 2025, up 17.4% from $123.85 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Celularity (CELU) Total Liabilities (2018 - 2026) Analysis & Trends
Since Q4 2018, Celularity has reported Total Liabilities for 28 quarters.
- 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%).
- Quarterly Total Liabilities has run from a low of $102.93 million in Q4 2023 to a high of $903.86 million in Q1 2021 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2021, with growth of 39.2%; the weakest was Q4 2021, with a decline of 67.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $134.33 million (Q3 2025), $145.78 million (Q2 2025) and $134.38 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Celularity | 39.39 Mn | 31.87 Mn | 2.39 Mn | 134.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 776.62 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();