Rapid7 (RPD) Other Operating Expenses (2014 - 2026)
Rapid7's Other Operating Expenses came in at $76.19 million for Q2 2026, down 3.9% from $79.25 million a year earlier and down 3.5% from the prior quarter.
Rapid7 (RPD) Other Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rapid7 reported Other Operating Expenses of $314.14 million, up 2.5% year-over-year; for FY2025, it came in at $317.67 million, up 6.3% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $298.81 million in FY2024 (-13.2%), $344.45 million in FY2023 (+12.0%), $307.41 million in FY2022 (+24.2%) and $247.45 million in FY2021 (+26.3%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q4 2024.
- Year-over-year, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2023 (growth of 40.1%), and the weakest in Q2 2024 (a decline of 28.5%).
- Business Quant data shows RPD's Other Operating Expenses at $78.93 million (Q1 2026), $79.72 million (Q4 2025) and $79.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Rapid7 | 822.60 Mn | -1.43 Bn | 145.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.19 Mn |
| Mar 31, 2026 | 78.93 Mn |
| Dec 31, 2025 | 79.72 Mn |
| Sep 30, 2025 | 79.30 Mn |
| Jun 30, 2025 | 79.25 Mn |
| Mar 31, 2025 | 79.40 Mn |
| Dec 31, 2024 | 72.97 Mn |
| Sep 30, 2024 | 74.82 Mn |
| Jun 30, 2024 | 78.13 Mn |
| Mar 31, 2024 | 72.90 Mn |
| Dec 31, 2023 | 75.95 Mn |
| Sep 30, 2023 | 79.02 Mn |
| Jun 30, 2023 | 109.30 Mn |
| Mar 31, 2023 | 80.17 Mn |
| Dec 31, 2022 | 78.26 Mn |
| Sep 30, 2022 | 75.97 Mn |
| Jun 30, 2022 | 78.03 Mn |
| Mar 31, 2022 | 75.15 Mn |
| Dec 31, 2021 | 73.19 Mn |
| Sep 30, 2021 | 63.04 Mn |
Rapid7 Other Operating Expenses 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=other-operating-expenses&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();