Arlo Technologies (ARLO) Non-Current Assets (2017 - 2026)
Arlo Technologies' Non-Current Assets came in at $101.93 million for Q2 2026, up 99.4% from $51.12 million a year earlier and up 20.6% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies' Non-Current Assets was $50.06 million, up 39.9% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $35.79 million in FY2024 (+2.3%), $35 million in FY2023 (-11.2%), $39.42 million in FY2022 (-10.1%) and $43.87 million in FY2021 (-23.6%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2017.
- Year-over-year, Non-Current Assets has increased for seven consecutive quarters, with growth averaging 44.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2026 (growth of 99.4%), and the weakest in Q3 2021 (a decline of 24.0%).
- Business Quant data shows ARLO's Non-Current Assets at $84.52 million (Q1 2026), $50.06 million (Q4 2025) and $49.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 6.05 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 4.48 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 101.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 101.93 Mn |
| Mar 29, 2026 | 84.52 Mn |
| Dec 31, 2025 | 50.06 Mn |
| Sep 28, 2025 | 49.14 Mn |
| Jun 29, 2025 | 51.12 Mn |
| Mar 30, 2025 | 50.22 Mn |
| Dec 31, 2024 | 35.79 Mn |
| Sep 29, 2024 | 32.84 Mn |
| Jun 30, 2024 | 32.58 Mn |
| Mar 31, 2024 | 33.83 Mn |
| Dec 31, 2023 | 35.00 Mn |
| Oct 1, 2023 | 36.68 Mn |
| Jul 2, 2023 | 36.27 Mn |
| Apr 2, 2023 | 38.24 Mn |
| Dec 31, 2022 | 39.42 Mn |
| Oct 2, 2022 | 40.12 Mn |
| Jul 3, 2022 | 42.32 Mn |
| Apr 3, 2022 | 42.14 Mn |
| Dec 31, 2021 | 43.87 Mn |
| Oct 3, 2021 | 45.23 Mn |
API Access
Arlo Technologies 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=non-current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();