Rapid7 (RPD) Research & Development (2014 - 2026)
Rapid7 (RPD) reported Research & Development of $47.07 million for Q2 2026, down 0.3% from $47.23 million a year earlier and down 2.6% from the prior quarter.
Rapid7 (RPD) Research & Development (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rapid7's Research & Development came in at $190.97 million, up 2.4% year-over-year; for FY2025, it was $190.66 million, up 10.1% from FY2024.
- Research & Development has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- By year, Research & Development came in at $173.13 million in FY2024 (-2.7%), $177.94 million in FY2023 (-6.3%), $189.97 million in FY2022 (+18.2%) and $160.78 million in FY2021 (+48.1%).
- Five-year quarterly Research & Development spans a low of $40.03 million in Q4 2023 and a high of $51.16 million in Q2 2023.
- Year over year, Research & Development gained in seven of the last eight quarters, with growth averaging 8.7%.
- The high point for year-over-year Research & Development in five years was Q4 2021 (growth of 63.1%); the low point was Q2 2024 (a decline of 20.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.35 million (Q1 2026), $48.63 million (Q4 2025) and $46.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Rapid7 | 794.33 Mn | -1.46 Bn | 145.34 Mn | 47.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.07 Mn |
| Mar 31, 2026 | 48.35 Mn |
| Dec 31, 2025 | 48.63 Mn |
| Sep 30, 2025 | 46.91 Mn |
| Jun 30, 2025 | 47.23 Mn |
| Mar 31, 2025 | 47.89 Mn |
| Dec 31, 2024 | 46.33 Mn |
| Sep 30, 2024 | 44.98 Mn |
| Jun 30, 2024 | 40.45 Mn |
| Mar 31, 2024 | 41.37 Mn |
| Dec 31, 2023 | 40.03 Mn |
| Sep 30, 2023 | 40.25 Mn |
| Jun 30, 2023 | 51.16 Mn |
| Mar 31, 2023 | 46.49 Mn |
| Dec 31, 2022 | 42.63 Mn |
| Sep 30, 2022 | 48.62 Mn |
| Jun 30, 2022 | 48.91 Mn |
| Mar 31, 2022 | 49.81 Mn |
| Dec 31, 2021 | 48.51 Mn |
| Sep 30, 2021 | 43.88 Mn |
Rapid7 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=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();