NCR Voyix (VYX) Long-Term Debt Repayments (2009 - 2026)
NCR Voyix's Long-Term Debt Repayments was $43 million in Q2 2026, compared with $2 million a year earlier and down 28.3% from the prior quarter.
NCR Voyix (VYX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, NCR Voyix's Long-Term Debt Repayments was $302 million through Jun 30, 2026, down 62.8% year-over-year; for FY2025, it was $208 million, down 82.3% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -36.4% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $1.18 billion in FY2024 (-58.8%), $2.86 billion in FY2023 (+139.5%), $1.19 billion in FY2022 (-27.8%) and $1.65 billion in FY2021 (-17.4%).
- Quarterly Long-Term Debt Repayments has moved between $2 million (Q2 2025) and $1.12 billion (Q3 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last five quarters, with growth averaging 88.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2026 (growth of 757.1%); the worst was Q2 2025 (a decline of 99.2%).
- Per Business Quant data, VYX's Long-Term Debt Repayments in the three quarters before Q2 2026 was $60 million (Q1 2026), $140 million (Q4 2025) and $59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.27 Bn | 24.51 Bn | 695.95 Mn | - |
| 3 | Samsara | 25.46 Bn | 22.23 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn | - |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.76 Bn | 13.82 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Costar | 14.23 Bn | 8.18 Bn | 728.00 Mn | - |
| 8 | Manhattan Associates | 14.14 Bn | 13.14 Bn | 168.33 Mn | - |
| 9 | Bentley Systems | 12.27 Bn | 11.73 Bn | 336.74 Mn | 691.93 Mn |
| 10 | NCR Voyix | 1.16 Bn | 179.65 Mn | 156.00 Mn | 52.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.00 Mn |
| Mar 31, 2026 | 64.00 Mn |
| Dec 31, 2025 | 143.00 Mn |
| Sep 30, 2025 | 62.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 13.00 Mn |
| Sep 30, 2024 | 1.69 Bn |
| Jun 30, 2024 | 259.00 Mn |
| Mar 31, 2024 | 128.00 Mn |
| Dec 31, 2023 | 3.62 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 509.00 Mn |
| Mar 31, 2023 | 479.00 Mn |
| Dec 31, 2022 | 381.00 Mn |
| Sep 30, 2022 | 278.00 Mn |
| Jun 30, 2022 | 326.00 Mn |
| Mar 31, 2022 | 285.00 Mn |
| Dec 31, 2021 | 224.00 Mn |
| Sep 30, 2021 | 1.15 Bn |
NCR Voyix 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=VYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VYX", "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=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();