Netscout Systems (NTCT) Return on Capital Employed [ROCE] (2011 - 2025)
Netscout Systems (NTCT) reported Return on Capital Employed [ROCE] of 6.10% for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 30.48 percentage points from -24.38% a year earlier and up 0.09 percentage points from the prior quarter.
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Analysis
Netscout Systems (NTCT) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2025 (ended Mar 31, 2025), Netscout Systems posted Return on Capital Employed [ROCE] of -18.54%, down 12.06 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -19.17 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Capital Employed [ROCE] came in at -6.48% in FY2024 (-9.52 pp), 3.04% in FY2023 (+1.22 pp), 1.83% in FY2022 (+0.45 pp) and 1.38% in FY2021 (+0.75 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q1 2016.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of -1.13 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q2 2026 (a gain of 41.86 percentage points); the low point was fiscal Q2 2025 (a drop of 39.55 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 6.01% (Q2 2026), 4.99% (Q1 2026) and -20.74% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -1.83% |
| 10 | Netscout Systems | 2.88 Bn | 591.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.10% |
| Sep 30, 2025 | 6.01% |
| Jun 30, 2025 | 4.99% |
| Mar 31, 2025 | -20.74% |
| Dec 31, 2024 | -24.38% |
| Sep 30, 2024 | -35.85% |
| Jun 30, 2024 | -31.09% |
| Mar 31, 2024 | -6.82% |
| Dec 31, 2023 | -4.92% |
| Sep 30, 2023 | 3.69% |
| Jun 30, 2023 | 3.43% |
| Mar 31, 2023 | 3.22% |
| Dec 31, 2022 | 2.79% |
| Sep 30, 2022 | 2.46% |
| Jun 30, 2022 | 1.94% |
| Mar 31, 2022 | 1.81% |
| Dec 31, 2021 | 2.76% |
| Sep 30, 2021 | 1.86% |
| Jun 30, 2021 | 1.52% |
| Mar 31, 2021 | 1.37% |
API Access
Netscout Systems Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=NTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();