Rapid7 (RPD) Long-Term Debt Repayments (2014 - 2023)
Rapid7's Long-Term Debt Repayments came in at $45.99 million for FY2025.
Analysis
Rapid7 (RPD) Long-Term Debt Repayments (2014 - 2023) Analysis & Trends
Going back to FY2015, Rapid7's Long-Term Debt Repayments data covers 5 years.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of -33.1% (FY2021 to FY2025).
- The FY2025 figure represents the lowest annual Long-Term Debt Repayments since FY2022.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $200 million in FY2023, $12,000 in FY2022 (-100.0%) and $230 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 271.34 Bn | 256.42 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 246.55 Bn | 226.95 Bn | 1.10 Bn | - |
| 3 | Fortinet | 128.99 Bn | 114.92 Bn | 1.64 Bn | - |
| 4 | Snowflake | 110.79 Bn | 98.11 Bn | 1.04 Bn | - |
| 5 | Datadog | 95.49 Bn | 77.13 Bn | 881.34 Mn | - |
| 6 | Zscaler | 37.81 Bn | 23.93 Bn | - | - |
| 7 | Okta | 36.48 Bn | 26.57 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 32.51 Bn | 27.04 Bn | 546.45 Mn | - |
| 9 | MongoDB | 30.11 Bn | 20.57 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Rapid7 | 935.66 Mn | -1.32 Bn | 145.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 200.00 Mn |
| Jun 30, 2022 | 12,000.00 |
| Dec 31, 2021 | 45.35 Mn |
| Jun 30, 2021 | 2.00 Mn |
| Mar 31, 2021 | 182.65 Mn |
| Mar 31, 2016 | 68,000.00 |
| Dec 31, 2015 | 66,000.00 |
| Sep 30, 2015 | 18.60 Mn |
| Jun 30, 2015 | 64,000.00 |
| Mar 31, 2015 | 59,000.00 |
| Dec 31, 2014 | 59,000.00 |
| Sep 30, 2014 | 64,000.00 |
API Access
Rapid7 Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();