Outlook Therapeutics (OTLK) Price to Book (2016 - 2023)
Outlook Therapeutics' (OTLK) Price to Book was 26.68 for fiscal Q2 2023 (quarter ended Mar 31, 2023), up 138.7% from 11.18 a year earlier and up 51.6% from the prior quarter.
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Analysis
Outlook Therapeutics (OTLK) Price to Book (2016 - 2023) Analysis & Trends
For FY2022 (ended Sep 30, 2022), Price to Book at Outlook Therapeutics was 31.74, down 61.8% from FY2021.
- By fiscal year, Price to Book came in at 83.11 in FY2021 (+349.6%) and 18.48 in FY2020.
- Five-year quarterly Price to Book spans a low of 6.25 in fiscal Q1 2022 and a high of 83.11 in fiscal Q4 2021.
- Year over year, Price to Book gained in four of the last seven quarters, with growth averaging 102.9%.
- Per Business Quant data, the three fiscal quarters before Q2 2023 came in at 17.59 (Q1 2023), 31.74 (Q4 2022) and 11.48 (Q3 2022).
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 | Outlook Therapeutics | 62.90 Mn | 27.15 Mn | -8,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 26.68 |
| Dec 31, 2022 | 17.59 |
| Sep 30, 2022 | 31.74 |
| Jun 30, 2022 | 11.48 |
| Mar 31, 2022 | 11.18 |
| Dec 31, 2021 | 6.25 |
| Sep 30, 2021 | 83.11 |
| Jun 30, 2021 | 34.14 |
| Mar 31, 2021 | 18.91 |
| Sep 30, 2020 | 18.48 |
| Jun 30, 2020 | 10.68 |
| Jun 30, 2016 | 40.93 |
API Access
Outlook 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=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "OTLK", "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=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();