NetApp (NTAP) Operating Expenses (2009 - 2026)
NetApp's Operating Expenses was $935 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 18.5% from $789 million a year earlier and up 12.2% from the prior quarter.
Powered by 
Analysis
NetApp (NTAP) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, NetApp's Operating Expenses was $3.37 billion through Jul 31, 2026, up 3.8% year-over-year; for FY2026 (ended Apr 24, 2026), it was $3.23 billion, down 1.6% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $3.28 billion in FY2025 (+1.8%), $3.22 billion in FY2024 (+0.9%), $3.19 billion in FY2023 (+4.2%) and $3.06 billion in FY2022 (+10.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2022 (growth of 37.2%); the worst was fiscal Q3 2024 (a decline of 5.3%).
- Per Business Quant data, NTAP's Operating Expenses in the three fiscal quarters before Q1 2027 was $833 million (Q4 2026), $775 million (Q3 2026) and $828 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,982.68 Bn | 4,730.17 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.04 Bn | 356.97 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 360.24 Bn | 315.99 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 260.49 Bn | 213.94 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 259.56 Bn | 248.08 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 207.93 Bn | 202.92 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.91 Bn | 153.04 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.59 Bn | 61.47 Bn | 4.93 Bn | 10.82 Bn |
| 10 | NetApp | 39.43 Bn | 22.24 Bn | 1.42 Bn | 935.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 935.00 Mn |
| Apr 24, 2026 | 833.00 Mn |
| Jan 23, 2026 | 775.00 Mn |
| Oct 24, 2025 | 828.00 Mn |
| Jul 25, 2025 | 789.00 Mn |
| Apr 25, 2025 | 845.00 Mn |
| Jan 24, 2025 | 783.00 Mn |
| Oct 25, 2024 | 832.00 Mn |
| Jul 26, 2024 | 816.00 Mn |
| Apr 26, 2024 | 810.00 Mn |
| Jan 26, 2024 | 785.00 Mn |
| Oct 27, 2023 | 806.00 Mn |
| Jul 28, 2023 | 818.00 Mn |
| Apr 28, 2023 | 766.00 Mn |
| Jan 27, 2023 | 829.00 Mn |
| Oct 28, 2022 | 805.00 Mn |
| Jul 29, 2022 | 791.00 Mn |
| Apr 29, 2022 | 796.00 Mn |
| Jan 28, 2022 | 752.00 Mn |
| Oct 29, 2021 | 765.00 Mn |
API Access
NetApp 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=NTAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTAP", "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=NTAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();