Autolus Therapeutics (AUTL) Price to Book (2018 - 2026)
Autolus Therapeutics' (AUTL) Price to Book was 7.59 for Q2 2026, up 224.9% from 2.34 a year earlier.
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Analysis
Autolus Therapeutics (AUTL) Price to Book (2018 - 2026) Analysis & Trends
For FY2025, Price to Book at Autolus Therapeutics was 3.97, up 103.1% from FY2024.
- By year, Price to Book came in at 1.95 in FY2024 (-87.2%), 15.20 in FY2023 (+811.7%), 1.67 in FY2022 (-44.0%) and 2.98 in FY2021 (-50.5%).
- The Q2 2026 figure ranks as the highest quarterly Price to Book since Q4 2023.
- Year over year, Price to Book gained in two of the last seven quarters, with growth averaging 19.9%.
- The high point for year-over-year Price to Book in five years was Q4 2023 (growth of 811.7%); the low point was Q4 2024 (a decline of 87.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 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 |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Autolus Therapeutics | 468.91 Mn | -511.27 Mn | 23.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.16 |
| Jun 30, 2026 | 7.59 |
| Mar 31, 2026 | 4.50 |
| Dec 31, 2025 | 3.97 |
| Sep 30, 2025 | 2.18 |
| Jun 30, 2025 | 2.34 |
| Mar 31, 2025 | 1.48 |
| Dec 31, 2024 | 1.95 |
| Sep 30, 2024 | 2.70 |
| Jun 30, 2024 | 2.34 |
| Mar 31, 2024 | 3.89 |
| Dec 31, 2023 | 15.20 |
| Sep 30, 2023 | 3.39 |
| Jun 30, 2023 | 2.73 |
| Mar 31, 2023 | 1.81 |
| Dec 31, 2022 | 1.67 |
| Sep 30, 2022 | 2.39 |
| Jun 30, 2022 | 2.37 |
| Mar 31, 2022 | 2.77 |
| Dec 31, 2021 | 2.98 |
API Access
Autolus Therapeutics Price to Book 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=price-to-book&ticker=AUTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AUTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();