Arlo Technologies (ARLO) Assets (2017 - 2026)
Arlo Technologies (ARLO) recorded Assets of $374.58 million in Q2 2026, up 17.2% from $319.74 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies reported Assets of $310.55 million, up 4.1% from FY2024.
- Annual Assets has increased for three straight years, though with a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Assets came in at $298.4 million in FY2024 (+4.5%), $285.54 million in FY2023 (+4.9%), $272.2 million in FY2022 (-21.7%) and $347.49 million in FY2021 (-16.1%).
- The Q2 2026 figure is the highest quarterly Assets since Q4 2020.
- On a year-over-year basis, Assets has increased for 11 consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 21.5% in Q1 2026, against a decline of 21.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $360.19 million (Q1 2026), $310.55 million (Q4 2025) and $350.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 9.14 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 7.48 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 7.87 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 69.26 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 374.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 374.58 Mn |
| Mar 29, 2026 | 360.19 Mn |
| Dec 31, 2025 | 310.55 Mn |
| Sep 28, 2025 | 350.87 Mn |
| Jun 29, 2025 | 319.74 Mn |
| Mar 30, 2025 | 296.57 Mn |
| Dec 31, 2024 | 298.40 Mn |
| Sep 29, 2024 | 312.38 Mn |
| Jun 30, 2024 | 295.81 Mn |
| Mar 31, 2024 | 289.76 Mn |
| Dec 31, 2023 | 285.54 Mn |
| Oct 1, 2023 | 297.64 Mn |
| Jul 2, 2023 | 269.02 Mn |
| Apr 2, 2023 | 257.08 Mn |
| Dec 31, 2022 | 272.20 Mn |
| Oct 2, 2022 | 331.22 Mn |
| Jul 3, 2022 | 299.68 Mn |
| Apr 3, 2022 | 311.79 Mn |
| Dec 31, 2021 | 347.49 Mn |
| Oct 3, 2021 | 333.33 Mn |
API Access
Arlo Technologies Assets 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=assets&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();