Arlo Technologies (ARLO) Intangibles (2017 - 2026)
Arlo Technologies' Intangibles was $25.71 million in Q2 2026, up 31.9% from the prior quarter.
Analysis
Arlo Technologies (ARLO) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2019, Intangibles at Arlo Technologies came in at $1.31 million, down 53.7% from FY2018.
- In earlier years, Intangibles was $2.82 million in FY2018 (-35.1%) and $4.35 million in FY2017.
- The Q2 2026 figure marks the highest quarterly Intangibles in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 80.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 281.58 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 214.36 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 736.00 Mn |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 25.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 25.71 Mn |
| Mar 29, 2026 | 19.49 Mn |
| Sep 27, 2020 | 238,000.00 |
| Jun 28, 2020 | 594,000.00 |
| Mar 29, 2020 | 950,000.00 |
| Dec 31, 2019 | 1.31 Mn |
| Sep 29, 2019 | 1.68 Mn |
| Jun 30, 2019 | 2.06 Mn |
| Mar 31, 2019 | 2.44 Mn |
| Dec 31, 2018 | 2.82 Mn |
| Sep 30, 2018 | 3.20 Mn |
| Jul 1, 2018 | 3.59 Mn |
| Dec 31, 2017 | 4.35 Mn |
API Access
Arlo Technologies Intangibles 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=intangibles&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();