Netscout Systems (NTCT) Other Accumulated Expenses (2011 - 2026)
Netscout Systems (NTCT) posted Other Accumulated Expenses of $20.01 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 3.2% from $19.4 million a year earlier and up 6.2% from the prior quarter.
Netscout Systems (NTCT) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Netscout Systems has reported Other Accumulated Expenses for 61 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- In prior fiscal years, Netscout Systems' Other Accumulated Expenses was $19.4 million in FY2025 (+32.3%), $14.67 million in FY2024 (-44.2%), $26.28 million in FY2023 (-18.0%) and $32.06 million in FY2022 (+51.8%).
- Quarterly Other Accumulated Expenses has run from a low of $12.4 million in fiscal Q1 2025 to a high of $33.19 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 11.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2026, with growth of 63.8%; the weakest was fiscal Q4 2024, with a decline of 44.2%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $18.84 million (Q3 2026), $21.6 million (Q2 2026) and $20.31 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Netscout Systems | 2.93 Bn | 636.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20.01 Mn |
| Dec 31, 2025 | 18.84 Mn |
| Sep 30, 2025 | 21.60 Mn |
| Jun 30, 2025 | 20.31 Mn |
| Mar 31, 2025 | 19.40 Mn |
| Dec 31, 2024 | 16.92 Mn |
| Sep 30, 2024 | 15.19 Mn |
| Jun 30, 2024 | 12.40 Mn |
| Mar 31, 2024 | 14.67 Mn |
| Dec 31, 2023 | 17.84 Mn |
| Sep 30, 2023 | 18.34 Mn |
| Jun 30, 2023 | 19.06 Mn |
| Mar 31, 2023 | 26.28 Mn |
| Dec 31, 2022 | 22.43 Mn |
| Sep 30, 2022 | 26.97 Mn |
| Jun 30, 2022 | 33.19 Mn |
| Mar 31, 2022 | 32.06 Mn |
| Dec 31, 2021 | 31.82 Mn |
| Sep 30, 2021 | 31.80 Mn |
| Jun 30, 2021 | 21.73 Mn |
Netscout Systems Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();