Rapid7 (RPD) Property, Plant & Equipment (Net) (2014 - 2026)
Rapid7 (RPD) recorded Property, Plant & Equipment (Net) of $29.18 million in Q2 2026, down 1.6% from $29.64 million a year earlier and down 4.3% from the prior quarter.
Rapid7 (RPD) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Rapid7 reported Property, Plant & Equipment (Net) of $31.99 million, down 0.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $32.25 million in FY2024 (-18.7%), $39.64 million in FY2023 (-31.5%), $57.89 million in FY2022 (+15.3%) and $50.23 million in FY2021 (-5.4%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q4 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 13 consecutive quarters, with an average decline of 10.1% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 15.3% in Q4 2022, against a decline of 34.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $30.49 million (Q1 2026), $31.99 million (Q4 2025) and $31.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Rapid7 | 820.58 Mn | -1.43 Bn | 145.34 Mn | 29.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.18 Mn |
| Mar 31, 2026 | 30.49 Mn |
| Dec 31, 2025 | 31.99 Mn |
| Sep 30, 2025 | 31.97 Mn |
| Jun 30, 2025 | 29.64 Mn |
| Mar 31, 2025 | 31.66 Mn |
| Dec 31, 2024 | 32.25 Mn |
| Sep 30, 2024 | 33.94 Mn |
| Jun 30, 2024 | 34.88 Mn |
| Mar 31, 2024 | 37.27 Mn |
| Dec 31, 2023 | 39.64 Mn |
| Sep 30, 2023 | 42.45 Mn |
| Jun 30, 2023 | 47.10 Mn |
| Mar 31, 2023 | 56.64 Mn |
| Dec 31, 2022 | 57.89 Mn |
| Sep 30, 2022 | 55.00 Mn |
| Jun 30, 2022 | 50.53 Mn |
| Mar 31, 2022 | 49.80 Mn |
| Dec 31, 2021 | 50.23 Mn |
| Sep 30, 2021 | 49.03 Mn |
Rapid7 Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();