Five9 (FIVN) Long-Term Debt Repayments (2013 - 2026)
Five9 (FIVN) posted Long-Term Debt Repayments of $2.44 million for Q2 2026, down 2.5% from $2.51 million a year earlier and down 1.6% from the prior quarter.
Five9 (FIVN) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Five9 was -$417.2 million; for FY2025, it came in at $9.77 million, up 143.5% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, Five9's Long-Term Debt Repayments was $4.01 million in FY2024 (+305.7%), $989,000 in FY2023 and $612,000 in FY2021 (-83.5%).
- Quarterly Long-Term Debt Repayments has run from a low of -$424.64 million in Q4 2025 to a high of $2.51 million in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in six of the last seven quarters, with growth averaging 191.0%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2025, with growth of 414.6%; the weakest was Q3 2021, with a decline of 95.7%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $2.48 million (Q1 2026), -$424.64 million (Q4 2025) and $2.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | - |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | - |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 65,000.00 |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | - |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 35.30 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 458.96 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 167.97 Mn |
| 10 | Five9 | 2.11 Bn | -662.58 Mn | 172.73 Mn | 2.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.33 Mn |
| Jun 30, 2026 | 2.44 Mn |
| Mar 31, 2026 | 2.48 Mn |
| Dec 31, 2025 | -431.82 Mn |
| Sep 30, 2025 | 2.51 Mn |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 2.17 Mn |
| Dec 31, 2024 | 2.01 Mn |
| Sep 30, 2024 | 1.04 Mn |
| Jun 30, 2024 | 487,000.00 |
| Mar 31, 2024 | 304.96 Mn |
| Dec 31, 2023 | 324,000.00 |
| Sep 30, 2023 | 496,000.00 |
| Dec 31, 2022 | -34.06 Mn |
| Mar 31, 2022 | 31.91 Mn |
| Dec 31, 2021 | 5.82 Mn |
| Sep 30, 2021 | 36,000.00 |
| Jun 30, 2021 | 119,000.00 |
| Mar 31, 2021 | 8.30 Mn |
| Dec 31, 2020 | 14.57 Mn |
Five9 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=FIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "FIVN", "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=FIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();