Arlo Technologies (ARLO) Enterprise Value (2018 - 2026)
Arlo Technologies' Enterprise Value was $1.25 billion in Q2 2026, down 27.5% from $1.72 billion a year earlier and down 4.9% from the prior quarter.
Arlo Technologies (ARLO) Enterprise Value (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arlo Technologies' Enterprise Value was $861.26 million through Jun 28, 2026, down 41.7% year-over-year; for FY2025, it came in at $1.32 billion, up 26.4% from FY2024.
- Enterprise Value has now increased for three consecutive years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $1.05 billion in FY2024 (+22.9%), $851.5 million in FY2023 (+273.5%), $227.97 million in FY2022 (-67.9%) and $710.17 million in FY2021 (+64.4%).
- The Q2 2026 figure marks the lowest quarterly Enterprise Value since Q1 2025.
- Compared with a year earlier, Enterprise Value was higher in six of the last eight quarters, with growth averaging 19.4%.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2023 (growth of 273.5%); the worst was Q4 2022 (a decline of 67.9%).
- Per Business Quant data, ARLO's Enterprise Value in the three quarters before Q2 2026 was $1.31 billion (Q1 2026), $1.32 billion (Q4 2025) and $1.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.25 Bn |
| Mar 29, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 28, 2025 | 1.71 Bn |
| Jun 29, 2025 | 1.72 Bn |
| Mar 30, 2025 | 975.90 Mn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 29, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.22 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 851.50 Mn |
| Oct 1, 2023 | 923.06 Mn |
| Jul 2, 2023 | 959.81 Mn |
| Apr 2, 2023 | 483.19 Mn |
| Dec 31, 2022 | 227.97 Mn |
| Oct 2, 2022 | 329.45 Mn |
| Jul 3, 2022 | 454.52 Mn |
| Apr 3, 2022 | 651.80 Mn |
| Dec 31, 2021 | 710.17 Mn |
| Oct 3, 2021 | 377.46 Mn |
Arlo Technologies Enterprise Value 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=enterprise-value&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();