Nutanix (NTNX) Accumulated Expenses (2016 - 2026)
Nutanix (NTNX) recorded Accumulated Expenses of $36.12 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 49.3% from $24.19 million a year earlier and up 28.1% from the prior quarter.
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Analysis
Nutanix (NTNX) Accumulated Expenses (2016 - 2026) Analysis & Trends
Starting with fiscal Q4 2016, Nutanix's Accumulated Expenses history includes 41 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $24.19 million in FY2025 (-3.1%), $24.97 million in FY2024 (-77.2%), $109.27 million in FY2023 (+83.4%) and $59.57 million in FY2022 (+51.2%).
- The fiscal Q4 2026 figure is the highest quarterly Accumulated Expenses since fiscal Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 188.0% in fiscal Q2 2023, against a decline of 79.4% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $28.2 million (Q3 2026), $27.02 million (Q2 2026) and $25.07 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 36.12 Mn |
| Apr 30, 2026 | 28.20 Mn |
| Jan 31, 2026 | 27.02 Mn |
| Oct 31, 2025 | 25.07 Mn |
| Jul 31, 2025 | 24.19 Mn |
| Apr 30, 2025 | 22.46 Mn |
| Jan 31, 2025 | 22.43 Mn |
| Oct 31, 2024 | 18.97 Mn |
| Jul 31, 2024 | 24.97 Mn |
| Apr 30, 2024 | 22.49 Mn |
| Jan 31, 2024 | 22.40 Mn |
| Oct 31, 2023 | 21.05 Mn |
| Jul 31, 2023 | 109.27 Mn |
| Apr 30, 2023 | 108.97 Mn |
| Jan 31, 2023 | 108.26 Mn |
| Oct 31, 2022 | 46.15 Mn |
| Jul 31, 2022 | 59.57 Mn |
| Apr 30, 2022 | 48.04 Mn |
| Jan 31, 2022 | 37.59 Mn |
| Oct 31, 2021 | 33.51 Mn |
API Access
Nutanix Accumulated 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=accumulated-expenses&ticker=NTNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NTNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();