Rapid7 (RPD) Capital Expenditures (2014 - 2026)
Rapid7's Capital Expenditures came in at $1.15 million for Q2 2026, up 21.7% from $948,000 a year earlier but down 44.5% from the prior quarter.
Rapid7 (RPD) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rapid7 reported Capital Expenditures of $8.53 million, up 76.4% year-over-year; for FY2025, it came in at $7.6 million, up 121.9% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $3.43 million in FY2024 (-21.6%), $4.37 million in FY2023 (-78.6%), $20.38 million in FY2022 (+126.2%) and $9.01 million in FY2021 (-34.7%).
- The five-year range for quarterly Capital Expenditures is $280,000 (Q2 2024) to $7.3 million (Q4 2022).
- Year-over-year, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 152.0%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2024 (growth of 354.9%), and the weakest in Q4 2023 (a decline of 95.0%).
- Business Quant data shows RPD's Capital Expenditures at $2.08 million (Q1 2026), $1.15 million (Q4 2025) and $4.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Rapid7 | 787.60 Mn | -1.47 Bn | 145.34 Mn | 1.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Mn |
| Mar 31, 2026 | 2.08 Mn |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 4.14 Mn |
| Jun 30, 2025 | 948,000.00 |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 1.18 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 280,000.00 |
| Mar 31, 2024 | 620,000.00 |
| Dec 31, 2023 | 367,000.00 |
| Sep 30, 2023 | 295,000.00 |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 7.30 Mn |
| Sep 30, 2022 | 5.86 Mn |
| Jun 30, 2022 | 4.17 Mn |
| Mar 31, 2022 | 3.05 Mn |
| Dec 31, 2021 | 4.18 Mn |
| Sep 30, 2021 | 2.16 Mn |
Rapid7 Capital Expenditures 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=capital-expenditures&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();