Netscout Systems (NTCT) Total Liabilities (2011 - 2026)
Netscout Systems (NTCT) posted Total Liabilities of $705.26 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 12.6% from $626.18 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Netscout Systems (NTCT) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Netscout Systems has reported Total Liabilities for 61 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of -8.2% (FY2021 to FY2026).
- In prior fiscal years, Netscout Systems' Total Liabilities was $626.18 million in FY2025 (-11.0%), $703.24 million in FY2024 (-11.1%), $790.91 million in FY2023 (-30.3%) and $1.13 billion in FY2022 (+5.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2026, with growth of 12.6%; the weakest was fiscal Q4 2023, with a decline of 30.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $680.38 million (Q3 2026), $602.63 million (Q2 2026) and $609.88 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Netscout Systems | 2.82 Bn | 526.09 Mn | - | 705.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 705.26 Mn |
| Dec 31, 2025 | 680.38 Mn |
| Sep 30, 2025 | 602.63 Mn |
| Jun 30, 2025 | 609.88 Mn |
| Mar 31, 2025 | 626.18 Mn |
| Dec 31, 2024 | 654.16 Mn |
| Sep 30, 2024 | 611.28 Mn |
| Jun 30, 2024 | 653.42 Mn |
| Mar 31, 2024 | 703.24 Mn |
| Dec 31, 2023 | 685.90 Mn |
| Sep 30, 2023 | 658.04 Mn |
| Jun 30, 2023 | 699.39 Mn |
| Mar 31, 2023 | 790.91 Mn |
| Dec 31, 2022 | 898.96 Mn |
| Sep 30, 2022 | 884.41 Mn |
| Jun 30, 2022 | 909.75 Mn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.09 Bn |
| Sep 30, 2021 | 1.02 Bn |
| Jun 30, 2021 | 1.03 Bn |
API Access
Netscout Systems Total 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-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();