Arlo Technologies (ARLO) Capital Expenditures (2017 - 2026)
Arlo Technologies (ARLO) reported Capital Expenditures of $2.91 million for Q2 2026, down 2.3% from $2.98 million a year earlier but up 20.2% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Capital Expenditures (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Arlo Technologies' Capital Expenditures came in at $11.37 million, up 45.5% year-over-year; for FY2025, it came in at $11.83 million, up 340.0% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $2.69 million in FY2024 (-5.6%), $2.85 million in FY2023 (+41.6%), $2.01 million in FY2022 (-11.4%) and $2.27 million in FY2021 (-41.7%).
- Five-year quarterly Capital Expenditures spans a low of $153,000 in Q2 2022 and a high of $4.22 million in Q3 2025.
- Year over year, Capital Expenditures gained in six of the last eight quarters, with growth averaging 281.6%.
- The high point for year-over-year Capital Expenditures in five years was Q2 2025 (growth of 908.5%); the low point was Q4 2021 (a decline of 81.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.42 million (Q1 2026), $1.83 million (Q4 2025) and $4.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 2.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.91 Mn |
| Mar 29, 2026 | 2.42 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 28, 2025 | 4.22 Mn |
| Jun 29, 2025 | 2.98 Mn |
| Mar 30, 2025 | 2.80 Mn |
| Dec 31, 2024 | 1.08 Mn |
| Sep 29, 2024 | 961,000.00 |
| Jun 30, 2024 | 295,000.00 |
| Mar 31, 2024 | 356,000.00 |
| Dec 31, 2023 | 399,000.00 |
| Oct 1, 2023 | 494,000.00 |
| Jul 2, 2023 | 1.03 Mn |
| Apr 2, 2023 | 923,000.00 |
| Dec 31, 2022 | 1.20 Mn |
| Oct 2, 2022 | 364,000.00 |
| Jul 3, 2022 | 153,000.00 |
| Apr 3, 2022 | 298,000.00 |
| Dec 31, 2021 | 330,000.00 |
| Oct 3, 2021 | 872,000.00 |
API Access
Arlo Technologies Capital Expenditures 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=capital-expenditures&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();