Five9 (FIVN) Total Non-Current Liabilities (2013 - 2026)
Five9's Total Non-Current Liabilities came in at $1.01 billion for Q2 2026, up 3.2% from $980.45 million a year earlier and up 0.9% from the prior quarter.
Five9 (FIVN) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Five9's Total Non-Current Liabilities was $996.71 million, down 29.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.42 billion in FY2024 (+49.9%), $948.6 million in FY2023 (+1.9%), $930.54 million in FY2022 (-4.5%) and $974.14 million in FY2021 (+29.3%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 1.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 50.2%), and the weakest in Q3 2025 (a decline of 31.4%).
- Business Quant data shows FIVN's Total Non-Current Liabilities at $1 billion (Q1 2026), $996.71 million (Q4 2025) and $983.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 17.64 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 4.95 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 1.85 Bn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 9.27 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 865.77 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 238.53 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 1.96 Bn |
| 10 | Five9 | 2.54 Bn | -209.67 Mn | 166.74 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 996.71 Mn |
| Sep 30, 2025 | 983.74 Mn |
| Jun 30, 2025 | 980.45 Mn |
| Mar 31, 2025 | 1.42 Bn |
| Dec 31, 2024 | 1.42 Bn |
| Sep 30, 2024 | 1.43 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 948.60 Mn |
| Sep 30, 2023 | 955.45 Mn |
| Jun 30, 2023 | 940.81 Mn |
| Mar 31, 2023 | 942.11 Mn |
| Dec 31, 2022 | 930.54 Mn |
| Sep 30, 2022 | 932.22 Mn |
| Jun 30, 2022 | 926.21 Mn |
| Mar 31, 2022 | 967.35 Mn |
| Dec 31, 2021 | 974.14 Mn |
| Sep 30, 2021 | 966.42 Mn |
Five9 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=FIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();