Netgear (NTGR) Operating Expenses (2010 - 2026)
Netgear's Operating Expenses was $76.23 million in Q2 2026, up 3.7% from $73.52 million a year earlier but down 2.1% from the prior quarter.
Netgear (NTGR) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netgear's Operating Expenses was $311.82 million through Jun 28, 2026, up 75.4% year-over-year; for FY2025, it came in at $300.34 million, up 63.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $183.71 million in FY2024 (-35.0%), $282.53 million in FY2023 (-15.3%), $333.47 million in FY2022 (+11.4%) and $299.24 million in FY2021 (+0.9%).
- Quarterly Operating Expenses has moved between -$39.33 million (Q3 2024) and $117.45 million (Q1 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 3.8% over the last six quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 47.5%); the worst was Q1 2023 (a decline of 38.4%).
- Per Business Quant data, NTGR's Operating Expenses in the three quarters before Q2 2026 was $77.89 million (Q1 2026), $78.38 million (Q4 2025) and $79.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Netgear | 596.59 Mn | -617.21 Mn | 67.79 Mn | 76.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 76.23 Mn |
| Mar 29, 2026 | 77.89 Mn |
| Dec 31, 2025 | 78.38 Mn |
| Sep 28, 2025 | 79.32 Mn |
| Jun 29, 2025 | 73.52 Mn |
| Mar 30, 2025 | 69.13 Mn |
| Dec 31, 2024 | 74.47 Mn |
| Sep 29, 2024 | -39.33 Mn |
| Jun 30, 2024 | 78.68 Mn |
| Mar 31, 2024 | 69.89 Mn |
| Dec 31, 2023 | 68.51 Mn |
| Oct 1, 2023 | 69.58 Mn |
| Jul 2, 2023 | 72.08 Mn |
| Apr 2, 2023 | 72.36 Mn |
| Dec 31, 2022 | 73.87 Mn |
| Oct 2, 2022 | 70.68 Mn |
| Jul 3, 2022 | 71.47 Mn |
| Apr 3, 2022 | 117.45 Mn |
| Dec 31, 2021 | 73.85 Mn |
| Oct 3, 2021 | 73.93 Mn |
Netgear Operating 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=operating-expenses&ticker=NTGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NTGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();