Allogene Therapeutics (ALLO) Selling, General & Administrative (2018 - 2026)
Allogene Therapeutics (ALLO) recorded Selling, General & Administrative of $20.84 million in Q2 2026, up 45.9% from $14.28 million a year earlier and up 47.9% from the prior quarter.
Allogene Therapeutics (ALLO) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a TTM basis, Allogene Therapeutics' Selling, General & Administrative came in at $62.44 million as of Jun 30, 2026, up 2.1% year-over-year; for FY2025, it was $56.78 million, down 12.9% from FY2024.
- Annual Selling, General & Administrative has declined for three straight years, with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $65.21 million in FY2024 (-9.0%), $71.67 million in FY2023 (-9.6%), $79.31 million in FY2022 (+7.0%) and $74.11 million in FY2021 (+13.6%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2022.
- On a year-over-year basis, Selling, General & Administrative rose in 1 of the last eight quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 45.9% in Q2 2026, against a decline of 18.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.09 million (Q1 2026), $13.77 million (Q4 2025) and $13.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Allogene Therapeutics | 322.04 Mn | -820.62 Mn | - | 12.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.86 Mn |
| Jun 30, 2026 | 20.84 Mn |
| Mar 31, 2026 | 14.09 Mn |
| Dec 31, 2025 | 13.77 Mn |
| Sep 30, 2025 | 13.74 Mn |
| Jun 30, 2025 | 14.28 Mn |
| Mar 31, 2025 | 14.99 Mn |
| Sep 30, 2024 | 16.33 Mn |
| Jun 30, 2024 | 16.09 Mn |
| Mar 31, 2024 | 17.27 Mn |
| Dec 31, 2023 | 17.22 Mn |
| Sep 30, 2023 | 17.04 Mn |
| Jun 30, 2023 | 18.52 Mn |
| Mar 31, 2023 | 18.88 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 18.90 Mn |
| Jun 30, 2022 | 19.51 Mn |
| Mar 31, 2022 | 19.90 Mn |
| Dec 31, 2021 | 19.96 Mn |
| Sep 30, 2021 | 19.00 Mn |
Allogene Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=ALLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ALLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();