Rapid7 (RPD) Price to Book (2015 - 2026)
Rapid7's (RPD) Price to Book came in at 2.77 for Q2 2026, down 83.2% from 16.55 a year earlier but up 31.7% from the prior quarter.
Analysis
Rapid7 (RPD) Price to Book (2015 - 2026) Analysis & Trends
For FY2025, Rapid7's Price to Book stood at 6.47, down 95.5% from FY2024.
- In prior years, Rapid7's Price to Book was 144.23 in FY2024.
- Quarterly Price to Book has run from a low of 2.11 in Q1 2026 to a high of 144.23 in Q4 2024 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last three quarters.
- According to Business Quant data, Price to Book for the three prior quarters was 2.11 (Q1 2026), 6.47 (Q4 2025) and 9.63 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Rapid7 | 811.83 Mn | -1.44 Bn | 145.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77 |
| Mar 31, 2026 | 2.11 |
| Dec 31, 2025 | 6.47 |
| Sep 30, 2025 | 9.63 |
| Jun 30, 2025 | 16.55 |
| Mar 31, 2025 | 32.27 |
| Dec 31, 2024 | 144.23 |
| Dec 31, 2020 | 65.82 |
| Sep 30, 2020 | 37.15 |
| Jun 30, 2020 | 28.66 |
| Mar 31, 2020 | 28.63 |
| Dec 31, 2019 | 33.62 |
| Sep 30, 2019 | 25.97 |
| Jun 30, 2019 | 32.25 |
| Mar 31, 2019 | 27.43 |
| Dec 31, 2018 | 16.99 |
| Sep 30, 2018 | 18.75 |
| Jun 30, 2018 | 18.97 |
| Mar 31, 2018 | 15.98 |
| Dec 31, 2017 | 34.03 |
API Access
Rapid7 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=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "RPD", "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=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();