Autolus Therapeutics (AUTL) EBITDA (2018 - 2026)
Autolus Therapeutics (AUTL) reported EBITDA of -$41.14 million for Q2 2026, compared with -$58.83 million a year earlier.
Autolus Therapeutics (AUTL) EBITDA (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Autolus Therapeutics' EBITDA came in at -$238.85 million; for FY2025, it was -$260.73 million.
- By year, EBITDA came in at -$233.67 million in FY2024, -$173.14 million in FY2023, -$135.99 million in FY2022 and -$132.59 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Autolus Therapeutics | 660.38 Mn | -663.71 Mn | 25.22 Mn | -41.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.14 Mn |
| Dec 31, 2025 | -69.84 Mn |
| Sep 30, 2025 | -69.04 Mn |
| Jun 30, 2025 | -58.83 Mn |
| Mar 31, 2025 | -62.95 Mn |
| Dec 31, 2024 | -73.75 Mn |
| Sep 30, 2024 | -65.94 Mn |
| Jun 30, 2024 | -57.03 Mn |
| Mar 31, 2024 | -36.95 Mn |
| Dec 31, 2023 | -51.50 Mn |
| Sep 30, 2023 | -41.53 Mn |
| Jun 30, 2023 | -42.87 Mn |
| Mar 31, 2023 | -37.25 Mn |
| Dec 31, 2022 | -10.00 Mn |
| Sep 30, 2022 | -35.56 Mn |
| Jun 30, 2022 | -37.14 Mn |
| Mar 31, 2022 | -34.12 Mn |
| Dec 31, 2021 | -21.00 Mn |
| Sep 30, 2021 | -37.91 Mn |
| Jun 30, 2021 | -35.48 Mn |
Autolus Therapeutics EBITDA 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=ebitda&ticker=AUTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AUTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();