Nutanix (NTNX) Operating Expenses (2015 - 2026)
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Analysis
Nutanix (NTNX) Operating Expenses (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 10.93 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 7.00 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 1.97 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 625.16 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 758.20 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 146.50 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 2.62 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 581.36 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 979.30 Mn |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | 1.02 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();