Netscout Systems (NTCT) Total Current Liabilities (2011 - 2026)
Netscout Systems (NTCT) reported Total Current Liabilities of $470.15 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 15.3% from $407.93 million a year earlier and up 6.2% from the prior quarter.
Netscout Systems (NTCT) Total Current Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Netscout Systems' Total Current Liabilities record includes 61 quarters.
- Total Current Liabilities has a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $407.93 million in FY2025 (+3.3%), $395.08 million in FY2024 (-12.9%), $453.61 million in FY2023 (-4.7%) and $476.16 million in FY2022 (+15.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Current Liabilities since fiscal Q4 2022.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 5.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2026 (growth of 15.9%); the low point was fiscal Q3 2024 (a decline of 13.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $442.59 million (Q3 2026), $377.43 million (Q2 2026) and $386.98 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Netscout Systems | 2.82 Bn | 526.09 Mn | - | 470.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 470.15 Mn |
| Dec 31, 2025 | 442.59 Mn |
| Sep 30, 2025 | 377.43 Mn |
| Jun 30, 2025 | 386.98 Mn |
| Mar 31, 2025 | 407.93 Mn |
| Dec 31, 2024 | 381.77 Mn |
| Sep 30, 2024 | 347.10 Mn |
| Jun 30, 2024 | 383.20 Mn |
| Mar 31, 2024 | 395.08 Mn |
| Dec 31, 2023 | 382.25 Mn |
| Sep 30, 2023 | 359.12 Mn |
| Jun 30, 2023 | 383.19 Mn |
| Mar 31, 2023 | 453.61 Mn |
| Dec 31, 2022 | 440.01 Mn |
| Sep 30, 2022 | 402.20 Mn |
| Jun 30, 2022 | 415.19 Mn |
| Mar 31, 2022 | 476.16 Mn |
| Dec 31, 2021 | 431.23 Mn |
| Sep 30, 2021 | 370.79 Mn |
| Jun 30, 2021 | 367.57 Mn |
Netscout Systems Total 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-current-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();