Arlo Technologies (ARLO) Other Non-Current Assets (2017 - 2026)
Arlo Technologies' Other Non-Current Assets was $4.13 million in Q2 2026, down 7.4% from $4.46 million a year earlier but up 14.2% from the prior quarter.
Arlo Technologies (ARLO) Other Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Arlo Technologies came in at $4.17 million, down 2.8% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $4.29 million in FY2024 (+3.9%), $4.13 million in FY2023 (-0.6%), $4.16 million in FY2022 (+1.2%) and $4.11 million in FY2021 (-1.4%).
- Quarterly Other Non-Current Assets has moved between $3.56 million (Q3 2025) and $4.66 million (Q1 2025) over five years.
- Compared with a year earlier, Other Non-Current Assets has declined for four straight quarters, with an average decline of 1.9% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q2 2025 (growth of 14.3%); the worst was Q1 2026 (a decline of 22.4%).
- Per Business Quant data, ARLO's Other Non-Current Assets in the three quarters before Q2 2026 was $3.61 million (Q1 2026), $4.17 million (Q4 2025) and $3.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 678.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 805.54 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 113.30 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 431.03 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 145.03 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 331.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 457.14 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 402.42 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 25.00 Mn |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 4.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.13 Mn |
| Mar 29, 2026 | 3.61 Mn |
| Dec 31, 2025 | 4.17 Mn |
| Sep 28, 2025 | 3.56 Mn |
| Jun 29, 2025 | 4.46 Mn |
| Mar 30, 2025 | 4.66 Mn |
| Dec 31, 2024 | 4.29 Mn |
| Sep 29, 2024 | 4.20 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 4.18 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Oct 1, 2023 | 4.08 Mn |
| Jul 2, 2023 | 4.04 Mn |
| Apr 2, 2023 | 4.18 Mn |
| Dec 31, 2022 | 4.16 Mn |
| Oct 2, 2022 | 4.13 Mn |
| Jul 3, 2022 | 4.13 Mn |
| Apr 3, 2022 | 4.11 Mn |
| Dec 31, 2021 | 4.11 Mn |
| Oct 3, 2021 | 4.11 Mn |
Arlo Technologies Other Non-Current 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=other-non-current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();