Arlo Technologies (ARLO) Selling, General & Administrative (2017 - 2026)
Arlo Technologies (ARLO) recorded Selling, General & Administrative of $23.13 million in Q2 2026, up 41.6% from $16.33 million a year earlier and up 27.0% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, Arlo Technologies' Selling, General & Administrative came in at $73.31 million as of Jun 28, 2026, up 12.0% year-over-year; for FY2025, it came in at $66.1 million, down 8.4% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $72.13 million in FY2024 (+28.0%), $56.37 million in FY2023 (+0.8%), $55.93 million in FY2022 (+13.0%) and $49.49 million in FY2021 (-3.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2017.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 42.8% in Q2 2024, against a decline of 25.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.21 million (Q1 2026), $16.89 million (Q4 2025) and $15.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | 23.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 23.13 Mn |
| Mar 29, 2026 | 18.21 Mn |
| Dec 31, 2025 | 16.89 Mn |
| Sep 28, 2025 | 15.09 Mn |
| Jun 29, 2025 | 16.33 Mn |
| Mar 30, 2025 | 17.79 Mn |
| Dec 31, 2024 | 14.30 Mn |
| Sep 29, 2024 | 17.05 Mn |
| Jun 30, 2024 | 21.43 Mn |
| Mar 31, 2024 | 19.35 Mn |
| Dec 31, 2023 | 13.28 Mn |
| Oct 1, 2023 | 12.46 Mn |
| Jul 2, 2023 | 15.01 Mn |
| Apr 2, 2023 | 15.62 Mn |
| Dec 31, 2022 | 17.91 Mn |
| Oct 2, 2022 | 12.25 Mn |
| Jul 3, 2022 | 13.15 Mn |
| Apr 3, 2022 | 12.62 Mn |
| Dec 31, 2021 | 12.58 Mn |
| Oct 3, 2021 | 12.12 Mn |
API Access
Arlo Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ARLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();