Arlo Technologies (ARLO) Property, Plant & Equipment (Net) (2017 - 2026)
Arlo Technologies' Property, Plant & Equipment (Net) was $15.98 million in Q2 2026, up 77.9% from $8.98 million a year earlier and up 12.7% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Arlo Technologies came in at $13.16 million, up 176.1% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $4.77 million in FY2024 (+0.1%), $4.76 million in FY2023 (-35.1%), $7.34 million in FY2022 (-23.5%) and $9.6 million in FY2021 (-39.4%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for seven straight quarters, with growth averaging 89.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2025 (growth of 179.3%); the worst was Q1 2022 (a decline of 41.6%).
- Per Business Quant data, ARLO's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $14.18 million (Q1 2026), $13.16 million (Q4 2025) and $12.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | 15.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 15.98 Mn |
| Mar 29, 2026 | 14.18 Mn |
| Dec 31, 2025 | 13.16 Mn |
| Sep 28, 2025 | 12.39 Mn |
| Jun 29, 2025 | 8.98 Mn |
| Mar 30, 2025 | 7.19 Mn |
| Dec 31, 2024 | 4.77 Mn |
| Sep 29, 2024 | 4.44 Mn |
| Jun 30, 2024 | 3.77 Mn |
| Mar 31, 2024 | 4.31 Mn |
| Dec 31, 2023 | 4.76 Mn |
| Oct 1, 2023 | 5.75 Mn |
| Jul 2, 2023 | 6.42 Mn |
| Apr 2, 2023 | 7.06 Mn |
| Dec 31, 2022 | 7.34 Mn |
| Oct 2, 2022 | 6.59 Mn |
| Jul 3, 2022 | 7.48 Mn |
| Apr 3, 2022 | 8.52 Mn |
| Dec 31, 2021 | 9.60 Mn |
| Oct 3, 2021 | 10.68 Mn |
API Access
Arlo Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();