Netscout Systems (NTCT) Total Non-Current Liabilities (2011 - 2026)
Netscout Systems (NTCT) recorded Total Non-Current Liabilities of $676.92 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 13.0% from $598.8 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Netscout Systems (NTCT) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Netscout Systems' Total Non-Current Liabilities history includes 61 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -8.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $598.8 million in FY2025 (-11.3%), $674.82 million in FY2024 (-11.8%), $764.86 million in FY2023 (-30.4%) and $1.1 billion in FY2022 (+5.8%).
- The fiscal Q4 2026 figure is the highest quarterly Total Non-Current Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 2.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 13.0% in fiscal Q4 2026, against a decline of 30.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $650.69 million (Q3 2026), $573.06 million (Q2 2026) and $580.46 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Netscout Systems | 2.82 Bn | 526.09 Mn | - | 676.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 676.92 Mn |
| Dec 31, 2025 | 650.69 Mn |
| Sep 30, 2025 | 573.06 Mn |
| Jun 30, 2025 | 580.46 Mn |
| Mar 31, 2025 | 598.80 Mn |
| Dec 31, 2024 | 626.82 Mn |
| Sep 30, 2024 | 582.03 Mn |
| Jun 30, 2024 | 625.30 Mn |
| Mar 31, 2024 | 674.82 Mn |
| Dec 31, 2023 | 659.59 Mn |
| Sep 30, 2023 | 632.68 Mn |
| Jun 30, 2023 | 673.13 Mn |
| Mar 31, 2023 | 764.86 Mn |
| Dec 31, 2022 | 864.78 Mn |
| Sep 30, 2022 | 853.49 Mn |
| Jun 30, 2022 | 876.06 Mn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.05 Bn |
| Sep 30, 2021 | 977.69 Mn |
| Jun 30, 2021 | 989.84 Mn |
API Access
Netscout Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();