Celularity (CELU) Change in Accured Expenses (2019 - 2026)
Celularity's Change in Accured Expenses was -$1.68 million in Q1 2026, compared with $2.71 million a year earlier.
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Analysis
Celularity (CELU) Change in Accured Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Celularity's Change in Accured Expenses was $9.07 million through Mar 31, 2026, down 36.0% year-over-year; for FY2025, it came in at $13.45 million, up 6.5% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 135.9% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $12.63 million in FY2024, -$1.13 million in FY2023, -$2.62 million in FY2022 and -$1.8 million in FY2021.
- The Q1 2026 figure marks the lowest quarterly Change in Accured Expenses since Q4 2023.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last five quarters, with growth averaging 118.5%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2024 (growth of 359.2%); the worst was Q3 2025 (a decline of 79.8%).
- Per Business Quant data, CELU's Change in Accured Expenses in the three quarters before Q1 2026 was $3.7 million (Q4 2025), $822,000 (Q3 2025) and $6.23 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Celularity | 40.27 Mn | 32.74 Mn | 2.39 Mn | -1.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.68 Mn |
| Dec 31, 2025 | 3.70 Mn |
| Sep 30, 2025 | 822,000.00 |
| Jun 30, 2025 | 6.23 Mn |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 5.40 Mn |
| Sep 30, 2024 | 4.08 Mn |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | -2.66 Mn |
| Sep 30, 2023 | 888,000.00 |
| Jun 30, 2023 | -84,000.00 |
| Mar 31, 2023 | 729,000.00 |
| Dec 31, 2022 | -9.17 Mn |
| Sep 30, 2022 | 795,000.00 |
| Jun 30, 2022 | 5.15 Mn |
| Mar 31, 2022 | 604,000.00 |
| Dec 31, 2021 | -5.65 Mn |
| Sep 30, 2021 | 2.62 Mn |
| Jun 30, 2021 | 2.50 Mn |
API Access
Celularity Change in Accured Expenses 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=change-in-accured-expenses&ticker=CELU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();