Autolus Therapeutics (AUTL) Research & Development (2017 - 2026)
Autolus Therapeutics (AUTL) posted Research & Development of $27.9 million for Q2 2026, up 1.7% from $27.43 million a year earlier.
Powered by 
Analysis
Autolus Therapeutics (AUTL) Research & Development (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Autolus Therapeutics was $118.85 million, down 5.2% year-over-year; for FY2025, it came in at $117.69 million, down 15.0% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Autolus Therapeutics' Research & Development was $138.44 million in FY2024 (+6.1%), $130.48 million in FY2023 (+11.2%), $117.35 million in FY2022 (+5.9%) and $110.84 million in FY2021 (-17.8%).
- Quarterly Research & Development has run from a low of $7.55 million in Q4 2022 to a high of $40.32 million in Q3 2024 over five years.
- On a year-over-year basis, Research & Development increased in three of the last seven quarters, with an average decline of 6.4%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2023, with growth of 397.4%; the weakest was Q4 2021, with a decline of 59.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Autolus Therapeutics | 660.38 Mn | -663.71 Mn | 25.22 Mn | 27.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.90 Mn |
| Dec 31, 2025 | 35.63 Mn |
| Sep 30, 2025 | 27.89 Mn |
| Jun 30, 2025 | 27.43 Mn |
| Mar 31, 2025 | 26.73 Mn |
| Dec 31, 2024 | 30.83 Mn |
| Sep 30, 2024 | 40.32 Mn |
| Jun 30, 2024 | 36.61 Mn |
| Mar 31, 2024 | 30.67 Mn |
| Dec 31, 2023 | 37.54 Mn |
| Sep 30, 2023 | 32.32 Mn |
| Jun 30, 2023 | 33.23 Mn |
| Mar 31, 2023 | 27.39 Mn |
| Dec 31, 2022 | 7.55 Mn |
| Sep 30, 2022 | 31.49 Mn |
| Jun 30, 2022 | 30.79 Mn |
| Mar 31, 2022 | 28.37 Mn |
| Dec 31, 2021 | 15.69 Mn |
| Sep 30, 2021 | 32.29 Mn |
| Jun 30, 2021 | 32.13 Mn |
API Access
Autolus Therapeutics Research & Development 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=research-and-development&ticker=AUTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();