Oculus (OVTZ) Price to Book (2015 - 2023)
Oculus' (OVTZ) Price to Book stood at 45.24 in Q2 2023, up 153.7% from 17.83 a year earlier and up 6.6% from the prior quarter.
Powered by 
Analysis
Oculus (OVTZ) Price to Book (2015 - 2023) Analysis & Trends
For FY2022, Oculus' Price to Book came in at 26.41.
- Across earlier years, Price to Book came in at 108.09 in FY2020 (+233.7%) and 32.39 in FY2019.
- The Q2 2023 figure is the highest quarterly Price to Book since Q1 2021.
- On a year-over-year basis, Price to Book rose in four of the last six quarters, with growth averaging 38.1%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 233.7% in Q4 2020, against a decline of 95.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 42.45 (Q1 2023), 26.41 (Q4 2022) and 21.56 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Oculus | 2.74 Mn | 2.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 45.24 |
| Mar 31, 2023 | 42.45 |
| Dec 31, 2022 | 26.41 |
| Sep 30, 2022 | 21.56 |
| Jun 30, 2022 | 17.83 |
| Mar 31, 2022 | 25.06 |
| Sep 30, 2021 | 15.17 |
| Jun 30, 2021 | 19.36 |
| Mar 31, 2021 | 609.88 |
| Dec 31, 2020 | 108.09 |
| Sep 30, 2020 | 9.07 |
| Jun 30, 2020 | 10.01 |
| Mar 31, 2020 | 49.78 |
| Dec 31, 2019 | 32.39 |
| Sep 30, 2019 | 21.84 |
| Jun 30, 2019 | 13.59 |
| Mar 31, 2016 | 993.16 |
| Dec 31, 2015 | 60.14 |
API Access
Oculus 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=OVTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "OVTZ", "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=OVTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();