NCR Voyix (VYX) Operating Expenses (2009 - 2026)
NCR Voyix (VYX) posted Operating Expenses of $509 million for Q2 2026, down 21.3% from $647 million a year earlier and down 18.6% from the prior quarter.
NCR Voyix (VYX) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at NCR Voyix was $2.51 billion, down 5.5% year-over-year; for FY2025, it came in at $2.66 billion, down 6.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- In prior years, NCR Voyix's Operating Expenses was $2.86 billion in FY2024 (-13.5%), $3.3 billion in FY2023 (+2.4%), $3.22 billion in FY2022 (-12.1%) and $3.67 billion in FY2021 (-38.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 11.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 27.8%; the weakest was Q3 2023, with a decline of 56.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $625 million (Q1 2026), $703 million (Q4 2025) and $669 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 248.13 Mn |
| 10 | NCR Voyix | 1.14 Bn | 154.85 Mn | 156.00 Mn | 509.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 509.00 Mn |
| Mar 31, 2026 | 625.00 Mn |
| Dec 31, 2025 | 703.00 Mn |
| Sep 30, 2025 | 669.00 Mn |
| Jun 30, 2025 | 647.00 Mn |
| Mar 31, 2025 | 633.00 Mn |
| Dec 31, 2024 | 679.00 Mn |
| Sep 30, 2024 | 692.00 Mn |
| Jun 30, 2024 | 756.00 Mn |
| Mar 31, 2024 | 729.00 Mn |
| Dec 31, 2023 | 951.00 Mn |
| Sep 30, 2023 | 785.00 Mn |
| Jun 30, 2023 | 887.00 Mn |
| Mar 31, 2023 | 890.00 Mn |
| Dec 31, 2022 | -2.29 Bn |
| Sep 30, 2022 | 1.79 Bn |
| Jun 30, 2022 | 1.89 Bn |
| Mar 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | -1.11 Bn |
| Sep 30, 2021 | 1.74 Bn |
NCR Voyix Operating Expenses 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=operating-expenses&ticker=VYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();