NetApp (NTAP) Return on Sales [ROS] (2009 - 2026)
NetApp's Return on Sales [ROS] was 23.90% in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 4.08 percentage points from 19.82% a year earlier but down 3.41 percentage points from the prior quarter.
NetApp (NTAP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, NetApp's Return on Sales [ROS] was 25.02% through Jul 31, 2026, up 4.32 percentage points year-over-year; for FY2026 (ended Apr 24, 2026), it was 24.17%, up 3.83 percentage points from FY2025.
- Return on Sales [ROS] has now increased for three consecutive fiscal years, with a five-year change of +6.22 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 20.34% in FY2025 (+0.98 pp), 19.37% in FY2024 (+3.37 pp), 16.00% in FY2023 (-2.31 pp) and 18.31% in FY2022 (+0.36 pp).
- Quarterly Return on Sales [ROS] has moved between 11.27% (fiscal Q3 2023) and 27.31% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +2.18 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2024 (a gain of 11.52 percentage points); the worst was fiscal Q4 2022 (a drop of 11.82 percentage points).
- Per Business Quant data, NTAP's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 27.31% (Q4 2026), 25.34% (Q3 2026) and 23.40% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,982.68 Bn | 4,730.17 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 421.04 Bn | 356.97 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 360.24 Bn | 315.99 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 260.49 Bn | 213.94 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 259.56 Bn | 248.08 Bn | 7.58 Bn | 78.49% |
| 6 | Seagate Technology Holdings | 207.93 Bn | 202.92 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 164.91 Bn | 153.04 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 16.79% |
| 9 | Hewlett Packard Enterprise | 83.59 Bn | 61.47 Bn | 4.93 Bn | 11.41% |
| 10 | NetApp | 39.43 Bn | 22.24 Bn | 1.42 Bn | 23.90% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.90% |
| Apr 24, 2026 | 27.31% |
| Jan 23, 2026 | 25.34% |
| Oct 24, 2025 | 23.40% |
| Jul 25, 2025 | 19.82% |
| Apr 25, 2025 | 20.09% |
| Jan 24, 2025 | 22.06% |
| Oct 25, 2024 | 20.81% |
| Jul 26, 2024 | 18.30% |
| Apr 26, 2024 | 21.94% |
| Jan 26, 2024 | 22.79% |
| Oct 27, 2023 | 19.46% |
| Jul 28, 2023 | 12.43% |
| Apr 28, 2023 | 19.54% |
| Jan 27, 2023 | 11.27% |
| Oct 28, 2022 | 16.96% |
| Jul 29, 2022 | 16.02% |
| Apr 29, 2022 | 17.44% |
| Jan 28, 2022 | 19.89% |
| Oct 29, 2021 | 18.77% |
NetApp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NTAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NTAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();