Netscout Systems (NTCT) Return on Sales [ROS] (2010 - 2025)
Netscout Systems' Return on Sales [ROS] came in at 25.66% for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 1.17 percentage points from 24.49% a year earlier and up 10.82 percentage points from the prior quarter.
Netscout Systems (NTCT) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Netscout Systems reported Return on Sales [ROS] of 12.78%, up 64.48 percentage points year-over-year; for FY2025 (ended Mar 31, 2025), it came in at -44.68%, down 26.62 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -46.66 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was -18.06% in FY2024 (-26.56 pp), 8.49% in FY2023 (+2.81 pp), 5.68% in FY2022 (+1.22 pp) and 4.47% in FY2021 (+2.49 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2011.
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +12.05 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2026 (a gain of 261.90 percentage points), and the weakest in fiscal Q1 2025 (a drop of 263.19 percentage points).
- Business Quant data shows NTCT's Return on Sales [ROS] at 14.83% (Q2 2026), -3.51% (Q1 2026) and 9.70% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Netscout Systems | 2.93 Bn | 636.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 25.66% |
| Sep 30, 2025 | 14.83% |
| Jun 30, 2025 | -3.51% |
| Mar 31, 2025 | 9.70% |
| Dec 31, 2024 | 24.49% |
| Sep 30, 2024 | 7.39% |
| Jun 30, 2024 | -265.42% |
| Mar 31, 2024 | -18.18% |
| Dec 31, 2023 | -61.65% |
| Sep 30, 2023 | 13.36% |
| Jun 30, 2023 | -2.22% |
| Mar 31, 2023 | 0.79% |
| Dec 31, 2022 | 23.65% |
| Sep 30, 2022 | 9.38% |
| Jun 30, 2022 | -4.37% |
| Mar 31, 2022 | -4.35% |
| Dec 31, 2021 | 21.15% |
| Sep 30, 2021 | 5.74% |
| Jun 30, 2021 | -5.61% |
| Mar 31, 2021 | 7.53% |
Netscout Systems 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=NTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NTCT", "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=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();