Ribbon Communications (RBBN) Long-Term Debt Repayments (2017 - 2026)
Ribbon Communications (RBBN) reported Long-Term Debt Repayments of $2.19 million for Q2 2026, up 150.1% from $875,000 a year earlier and unchanged from the prior quarter.
Ribbon Communications (RBBN) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ribbon Communications' Long-Term Debt Repayments came in at $8.75 million, up 150.0% year-over-year; for FY2025, it came in at $6.13 million, down 97.4% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -46.1% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $237.15 million in FY2024 (+149.5%), $95.06 million in FY2023 (+111.0%), $45.06 million in FY2022 (-51.1%) and $92.18 million in FY2021 (-31.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $875,000 in Q3 2024 and a high of $230.38 million in Q2 2024.
- Year over year, Long-Term Debt Repayments has now increased in each of the last four quarters, with growth averaging 31.6% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2023 (growth of 299.8%); the low point was Q2 2025 (a decline of 99.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.19 million (Q1 2026), $2.19 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | - |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 300.00 Mn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | -67.19 Mn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Ribbon Communications | 241.95 Mn | -40.32 Mn | 90.34 Mn | 2.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Mn |
| Mar 31, 2026 | 2.19 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Jun 30, 2025 | 875,000.00 |
| Mar 31, 2025 | 875,000.00 |
| Dec 31, 2024 | 875,000.00 |
| Sep 30, 2024 | 875,000.00 |
| Jun 30, 2024 | 230.38 Mn |
| Mar 31, 2024 | 5.01 Mn |
| Dec 31, 2023 | 5.01 Mn |
| Sep 30, 2023 | 5.02 Mn |
| Jun 30, 2023 | 5.01 Mn |
| Mar 31, 2023 | 80.02 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Sep 30, 2022 | 5.11 Mn |
| Jun 30, 2022 | 15.16 Mn |
| Mar 31, 2022 | 20.21 Mn |
| Dec 31, 2021 | 5.18 Mn |
| Sep 30, 2021 | 5.24 Mn |
Ribbon Communications 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=RBBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RBBN", "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=RBBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();