Arlo Technologies (ARLO) EV to CFO (2019 - 2026)
Arlo Technologies' EV to CFO was 15.93 in Q2 2026, down 40.0% from 26.54 a year earlier and down 8.1% from the prior quarter.
Arlo Technologies (ARLO) EV to CFO (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arlo Technologies' EV to CFO was 11.01 through Jun 28, 2026, down 51.7% year-over-year; for FY2025, it was 16.81, down 17.6% from FY2024.
- In earlier years, EV to CFO was 20.40 in FY2024 (-8.2%) and 22.23 in FY2023.
- The Q2 2026 figure marks the lowest quarterly EV to CFO since Q1 2025.
- Compared with a year earlier, EV to CFO was higher in two of the last eight quarters, with an average decline of 16.6%.
- The best year-over-year quarter for EV to CFO over five years was Q3 2025 (growth of 23.7%); the worst was Q2 2024 (a decline of 80.7%).
- Per Business Quant data, ARLO's EV to CFO in the three quarters before Q2 2026 was 17.33 (Q1 2026), 16.81 (Q4 2025) and 26.12 (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 | 15.93 |
| Mar 29, 2026 | 17.33 |
| Dec 31, 2025 | 16.81 |
| Sep 28, 2025 | 26.12 |
| Jun 29, 2025 | 26.54 |
| Mar 30, 2025 | 15.63 |
| Dec 31, 2024 | 20.40 |
| Sep 29, 2024 | 21.11 |
| Jun 30, 2024 | 29.27 |
| Mar 31, 2024 | 24.44 |
| Dec 31, 2023 | 22.23 |
| Oct 1, 2023 | 48.11 |
| Jul 2, 2023 | 151.70 |
| Jun 28, 2020 | 0.44 |
| Dec 31, 2019 | 6.80 |
Arlo Technologies EV to CFO 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=ev-to-cfo&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();