Celularity (CELU) Depreciation and Depletion (2020 - 2026)
Celularity's Depreciation and Depletion came in at $1.18 million for Q2 2026, down 19.0% from $1.46 million a year earlier and down 3.7% from the prior quarter.
Celularity (CELU) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Celularity reported Depreciation and Depletion of $5.29 million, down 11.1% year-over-year; for FY2025, it came in at $5.8 million, down 5.9% from FY2024.
- Depreciation and Depletion has declined in each of the last three years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $6.17 million in FY2024 (-13.5%), $7.13 million in FY2023 (-1.5%), $7.24 million in FY2022 (+9.3%) and $6.63 million in FY2021 (+38.6%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion in data going back to Q3 2020.
- Year-over-year, Depreciation and Depletion has declined for six consecutive quarters, with an average decline of 9.8% over the last six quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2021 (growth of 60.2%), and the weakest in Q2 2026 (a decline of 19.0%).
- Business Quant data shows CELU's Depreciation and Depletion at $1.23 million (Q1 2026), $1.43 million (Q4 2025) and $1.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | - |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | - |
| 10 | Celularity | 30.75 Mn | 23.50 Mn | 3.09 Mn | 1.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.43 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.54 Mn |
| Mar 31, 2024 | 1.61 Mn |
| Mar 31, 2022 | 1.74 Mn |
| Dec 31, 2021 | 2.05 Mn |
| Sep 30, 2021 | 1.79 Mn |
| Mar 31, 2021 | 1.40 Mn |
| Dec 31, 2020 | 1.28 Mn |
| Sep 30, 2020 | 1.51 Mn |
Celularity Depreciation and Depletion 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=depreciation-and-depletion&ticker=CELU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();