Rapid7 (RPD) Total Non-Current Liabilities (2014 - 2026)
Rapid7 (RPD) reported Total Non-Current Liabilities of $1.53 billion for Q2 2026, down 0.4% from $1.54 billion a year earlier and down 0.1% from the prior quarter.
Rapid7 (RPD) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Rapid7 posted Total Non-Current Liabilities of $1.56 billion, down 3.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.61 billion in FY2024 (unchanged), $1.61 billion in FY2023 (+10.2%), $1.46 billion in FY2022 (+4.2%) and $1.4 billion in FY2021 (+67.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.34 billion in Q3 2021 and a high of $1.61 billion in Q4 2024.
- Year over year, Total Non-Current Liabilities has now declined in each of the last five quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 72.4%); the low point was Q4 2025 (a decline of 3.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.53 billion (Q1 2026), $1.56 billion (Q4 2025) and $1.52 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Rapid7 | 989.19 Mn | -1.59 Bn | 147.85 Mn | 1.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.49 Bn |
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 1.56 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.57 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 30, 2024 | 1.56 Bn |
| Jun 30, 2024 | 1.57 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.61 Bn |
| Sep 30, 2023 | 1.55 Bn |
| Jun 30, 2023 | 1.45 Bn |
| Mar 31, 2023 | 1.43 Bn |
| Dec 31, 2022 | 1.46 Bn |
| Sep 30, 2022 | 1.42 Bn |
| Jun 30, 2022 | 1.42 Bn |
| Mar 31, 2022 | 1.40 Bn |
| Dec 31, 2021 | 1.40 Bn |
Rapid7 Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();