Rapid7 (RPD) Receivables (2014 - 2026)
Rapid7's Receivables was $141.25 million in Q2 2026, down 6.3% from $150.68 million a year earlier but up 4.5% from the prior quarter.
Analysis
Rapid7 (RPD) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Rapid7 came in at $167.02 million, down 0.7% from FY2024.
- Receivables shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, Receivables was $168.24 million in FY2024 (+2.1%), $164.86 million in FY2023 (+8.4%), $152.05 million in FY2022 (+4.1%) and $146.09 million in FY2021 (+30.9%).
- Quarterly Receivables has moved between $96.78 million (Q3 2021) and $168.24 million (Q4 2024) over five years.
- Compared with a year earlier, Receivables has declined for four straight quarters, with growth averaging 1.4% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2022 (growth of 39.9%); the worst was Q2 2026 (a decline of 6.3%).
- Per Business Quant data, RPD's Receivables in the three quarters before Q2 2026 was $135.13 million (Q1 2026), $167.02 million (Q4 2025) and $141.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Rapid7 | 794.33 Mn | -1.46 Bn | 145.34 Mn | 141.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.25 Mn |
| Mar 31, 2026 | 135.13 Mn |
| Dec 31, 2025 | 167.02 Mn |
| Sep 30, 2025 | 141.34 Mn |
| Jun 30, 2025 | 150.68 Mn |
| Mar 31, 2025 | 140.54 Mn |
| Dec 31, 2024 | 168.24 Mn |
| Sep 30, 2024 | 141.89 Mn |
| Jun 30, 2024 | 143.67 Mn |
| Mar 31, 2024 | 124.60 Mn |
| Dec 31, 2023 | 164.86 Mn |
| Sep 30, 2023 | 137.69 Mn |
| Jun 30, 2023 | 136.30 Mn |
| Mar 31, 2023 | 116.68 Mn |
| Dec 31, 2022 | 152.05 Mn |
| Sep 30, 2022 | 121.02 Mn |
| Jun 30, 2022 | 124.70 Mn |
| Mar 31, 2022 | 107.32 Mn |
| Dec 31, 2021 | 146.09 Mn |
| Sep 30, 2021 | 96.78 Mn |
API Access
Rapid7 Receivables 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=receivables&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();