Arlo Technologies (ARLO) Current Assets (2017 - 2026)
Arlo Technologies (ARLO) posted Current Assets of $272.65 million for Q2 2026, up 1.5% from $268.62 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies' Current Assets came in at $260.49 million, down 0.8% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Arlo Technologies' Current Assets was $262.61 million in FY2024 (+4.8%), $250.54 million in FY2023 (+7.6%), $232.78 million in FY2022 (-23.3%) and $303.62 million in FY2021 (-14.8%).
- Quarterly Current Assets has run from a low of $218.85 million in Q1 2023 to a high of $303.62 million in Q4 2021 over five years.
- On a year-over-year basis, Current Assets increased in six of the last eight quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Current Assets in the past five years was Q1 2024, with growth of 16.9%; the weakest was Q4 2022, with a decline of 23.3%.
- According to Business Quant data, Current Assets for the three prior quarters was $275.68 million (Q1 2026), $260.49 million (Q4 2025) and $301.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 8.64 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.96 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 6.21 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 3.49 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 6.01 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 3.09 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.00 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.03 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 30.56 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 272.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 272.65 Mn |
| Mar 29, 2026 | 275.68 Mn |
| Dec 31, 2025 | 260.49 Mn |
| Sep 28, 2025 | 301.72 Mn |
| Jun 29, 2025 | 268.62 Mn |
| Mar 30, 2025 | 246.35 Mn |
| Dec 31, 2024 | 262.61 Mn |
| Sep 29, 2024 | 279.54 Mn |
| Jun 30, 2024 | 263.23 Mn |
| Mar 31, 2024 | 255.93 Mn |
| Dec 31, 2023 | 250.54 Mn |
| Oct 1, 2023 | 260.96 Mn |
| Jul 2, 2023 | 232.75 Mn |
| Apr 2, 2023 | 218.85 Mn |
| Dec 31, 2022 | 232.78 Mn |
| Oct 2, 2022 | 291.09 Mn |
| Jul 3, 2022 | 257.35 Mn |
| Apr 3, 2022 | 269.65 Mn |
| Dec 31, 2021 | 303.62 Mn |
| Oct 3, 2021 | 288.10 Mn |
API Access
Arlo Technologies 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=current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();