Nutanix (NTNX) Operating Expenses (2015 - 2026)
Nutanix (NTNX) posted Operating Expenses of $581.36 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 8.0% from $538.23 million a year earlier and up 7.6% from the prior quarter.
Nutanix (NTNX) Operating Expenses (2015 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Nutanix's Operating Expenses came in at $2.2 billion, up 8.5% from FY2025.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 4.5% (FY2021 to FY2026).
- In prior fiscal years, Nutanix's Operating Expenses was $2.03 billion in FY2025 (+11.7%), $1.82 billion in FY2024 (+4.6%), $1.74 billion in FY2023 (+1.1%) and $1.72 billion in FY2022 (-2.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2016.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 10.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2025, with growth of 12.8%; the weakest was fiscal Q3 2022, with a decline of 7.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $540.28 million (Q3 2026), $547.42 million (Q2 2026) and $533.77 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 12.28 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 7.29 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 705.21 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 1.96 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 758.20 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 138.30 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 581.36 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 1.02 Bn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 125.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 581.36 Mn |
| Apr 30, 2026 | 540.28 Mn |
| Jan 31, 2026 | 547.42 Mn |
| Oct 31, 2025 | 533.77 Mn |
| Jul 31, 2025 | 538.23 Mn |
| Apr 30, 2025 | 507.35 Mn |
| Jan 31, 2025 | 504.00 Mn |
| Oct 31, 2024 | 481.04 Mn |
| Jul 31, 2024 | 479.16 Mn |
| Apr 30, 2024 | 456.55 Mn |
| Jan 31, 2024 | 446.63 Mn |
| Oct 31, 2023 | 434.80 Mn |
| Jul 31, 2023 | 425.10 Mn |
| Apr 30, 2023 | 424.79 Mn |
| Jan 31, 2023 | 456.20 Mn |
| Oct 31, 2022 | 431.77 Mn |
| Jul 31, 2022 | 439.42 Mn |
| Apr 30, 2022 | 416.51 Mn |
| Jan 31, 2022 | 427.89 Mn |
| Oct 31, 2021 | 434.33 Mn |
Nutanix 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=NTNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTNX", "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=NTNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();