Arlo Technologies (ARLO) Inventory (2017 - 2026)
Arlo Technologies (ARLO) recorded Inventory of $48.42 million in Q2 2026, up 56.8% from $30.88 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Arlo Technologies reported Inventory of $41.19 million, up 1.4% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $40.63 million in FY2024 (+5.8%), $38.41 million in FY2023 (-17.5%), $46.55 million in FY2022 (+21.3%) and $38.39 million in FY2021 (-40.7%).
- The Q2 2026 figure is the highest quarterly Inventory since Q3 2024.
- On a year-over-year basis, Inventory has increased for three consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 84.2% in Q3 2022, against a decline of 42.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.96 million (Q1 2026), $41.19 million (Q4 2025) and $44.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | - |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 426.30 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | - |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 486.56 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | - |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 48.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 48.42 Mn |
| Mar 29, 2026 | 43.96 Mn |
| Dec 31, 2025 | 41.19 Mn |
| Sep 28, 2025 | 44.37 Mn |
| Jun 29, 2025 | 30.88 Mn |
| Mar 30, 2025 | 34.56 Mn |
| Dec 31, 2024 | 40.63 Mn |
| Sep 29, 2024 | 51.98 Mn |
| Jun 30, 2024 | 45.23 Mn |
| Mar 31, 2024 | 44.68 Mn |
| Dec 31, 2023 | 38.41 Mn |
| Oct 1, 2023 | 53.50 Mn |
| Jul 2, 2023 | 39.43 Mn |
| Apr 2, 2023 | 39.92 Mn |
| Dec 31, 2022 | 46.55 Mn |
| Oct 2, 2022 | 73.24 Mn |
| Jul 3, 2022 | 39.21 Mn |
| Apr 3, 2022 | 37.04 Mn |
| Dec 31, 2021 | 38.39 Mn |
| Oct 3, 2021 | 39.77 Mn |
API Access
Arlo Technologies Inventory 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=inventory&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();