Celularity (CELU) Operating Expenses (2019 - 2026)
Celularity's Operating Expenses was $26.16 million in Q4 2025, down 4.6% from $27.41 million a year earlier but up 43.9% from the prior quarter.
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Analysis
Celularity (CELU) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2025, Operating Expenses at Celularity came in at $87.86 million, down 5.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $92.58 million in FY2024 (-57.0%), $215.06 million in FY2023 (+393.5%), $43.58 million in FY2022 (-66.6%) and $130.39 million in FY2021 (-21.5%).
- Quarterly Operating Expenses has moved between -$13.36 million (Q4 2022) and $103.04 million (Q3 2023) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with an average decline of 31.3% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 953.5%); the worst was Q3 2024 (a decline of 79.8%).
- Per Business Quant data, CELU's Operating Expenses in the three quarters before Q4 2025 was $18.18 million (Q3 2025), $21.6 million (Q2 2025) and $21.91 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Celularity | 39.39 Mn | 31.87 Mn | 2.39 Mn | 13.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.98 Mn |
| Dec 31, 2025 | 26.16 Mn |
| Sep 30, 2025 | 18.18 Mn |
| Jun 30, 2025 | 21.60 Mn |
| Mar 31, 2025 | 21.91 Mn |
| Dec 31, 2024 | 27.41 Mn |
| Sep 30, 2024 | 20.82 Mn |
| Jun 30, 2024 | 22.29 Mn |
| Mar 31, 2024 | 22.06 Mn |
| Dec 31, 2023 | -1.20 Mn |
| Sep 30, 2023 | 103.04 Mn |
| Jun 30, 2023 | 45.41 Mn |
| Mar 31, 2023 | 67.81 Mn |
| Dec 31, 2022 | -13.36 Mn |
| Sep 30, 2022 | 9.78 Mn |
| Jun 30, 2022 | -399,000.00 |
| Mar 31, 2022 | 47.55 Mn |
| Dec 31, 2021 | 19.81 Mn |
| Sep 30, 2021 | -276,000.00 |
| Jun 30, 2021 | 63.81 Mn |
API Access
Celularity Operating 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=operating-expenses&ticker=CELU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();