Allogene Therapeutics (ALLO) Depreciation and Depletion (2018 - 2026)
Allogene Therapeutics' Depreciation and Depletion came in at $3.56 million for Q1 2024, up 1.4% from $3.51 million a year earlier and up 2.2% from the prior quarter.
Allogene Therapeutics (ALLO) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Allogene Therapeutics reported Depreciation and Depletion of $14.25 million, up 1.0% year-over-year; for FY2023, it was $14.2 million, down 0.7% from FY2022.
- Depreciation and Depletion carries a five-year compound annual growth rate of 68.4% (FY2018 to FY2023).
- Going back by year, Depreciation and Depletion was $14.3 million in FY2022 (+36.7%), $10.45 million in FY2021 (+40.6%), $7.44 million in FY2020 (+68.1%) and $4.42 million in FY2019 (+322.1%).
- The five-year range for quarterly Depreciation and Depletion is $999,000 (Q2 2019) to $4.24 million (Q4 2021).
- Year-over-year, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 15.8%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q1 2020 (growth of 248.0%), and the weakest in Q4 2022 (a decline of 27.7%).
- Business Quant data shows ALLO's Depreciation and Depletion at $3.48 million (Q4 2023), $3.57 million (Q3 2023) and $3.64 million (Q2 2023) in the three quarters before Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Allogene Therapeutics | 322.04 Mn | -820.62 Mn | - | 2.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.59 Mn |
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 2.87 Mn |
| Dec 31, 2025 | 3.06 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 3.10 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 3.48 Mn |
| Sep 30, 2023 | 3.57 Mn |
| Jun 30, 2023 | 3.64 Mn |
| Mar 31, 2023 | 3.51 Mn |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | 3.86 Mn |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 3.69 Mn |
| Dec 31, 2021 | 4.24 Mn |
| Sep 30, 2021 | 2.33 Mn |
| Jun 30, 2021 | 1.96 Mn |
| Mar 31, 2021 | 1.92 Mn |
Allogene Therapeutics 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=ALLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ALLO", "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=ALLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();