Autolus Therapeutics (AUTL) EBT (2017 - 2026)
Autolus Therapeutics' EBT was -$38.65 million in Q2 2026, compared with -$47.52 million a year earlier.
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Analysis
Autolus Therapeutics (AUTL) EBT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Autolus Therapeutics' EBT was -$256.27 million through Jun 30, 2026; for FY2025, it was -$285.56 million.
- In earlier years, EBT was -$219.13 million in FY2024, -$208.4 million in FY2023, -$148.57 million in FY2022 and -$142.04 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBT since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 8.41 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 34.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 4.83 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 5.56 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 4.27 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 2.80 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 4.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 3.06 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.39 Bn |
| 10 | Autolus Therapeutics | 328.71 Mn | -770.49 Mn | 25.22 Mn | -38.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.65 Mn |
| Dec 31, 2025 | -91.52 Mn |
| Sep 30, 2025 | -78.59 Mn |
| Jun 30, 2025 | -47.52 Mn |
| Mar 31, 2025 | -67.94 Mn |
| Dec 31, 2024 | -26.14 Mn |
| Sep 30, 2024 | -82.07 Mn |
| Jun 30, 2024 | -58.22 Mn |
| Mar 31, 2024 | -52.70 Mn |
| Dec 31, 2023 | -77.20 Mn |
| Sep 30, 2023 | -45.87 Mn |
| Jun 30, 2023 | -45.51 Mn |
| Mar 31, 2023 | -39.83 Mn |
| Dec 31, 2022 | -7.43 Mn |
| Sep 30, 2022 | -42.77 Mn |
| Jun 30, 2022 | -42.12 Mn |
| Mar 31, 2022 | -37.09 Mn |
| Dec 31, 2021 | -24.14 Mn |
| Sep 30, 2021 | -39.38 Mn |
| Jun 30, 2021 | -39.53 Mn |
API Access
Autolus Therapeutics EBT 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=ebt&ticker=AUTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();