Arlo Technologies (ARLO) EPS (Diluted) (2017 - 2026)
Arlo Technologies' EPS (Diluted) came in at $0.03 for Q2 2026, down 5.5% from $0.03 a year earlier and down 79.7% from the prior quarter.
Arlo Technologies (ARLO) EPS (Diluted) (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Arlo Technologies reported EPS (Diluted) of $0.28; for FY2025, it was $0.14.
- Going back by year, EPS (Diluted) was -$0.31 in FY2024, -$0.24 in FY2023, -$0.65 in FY2022 and -$0.68 in FY2021.
- The Q2 2026 figure represents the lowest quarterly EPS (Diluted) since Q1 2025.
- Business Quant data shows ARLO's EPS (Diluted) at $0.13 (Q1 2026), $0.05 (Q4 2025) and $0.06 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.46 Bn | 241.53 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 222.40 Bn | 202.84 Bn | 1.10 Bn | 0.01 |
| 3 | Snowflake | 94.80 Bn | 82.11 Bn | 1.04 Bn | -0.55 |
| 4 | Fortinet | 90.00 Bn | 74.25 Bn | 1.64 Bn | 0.86 |
| 5 | Datadog | 63.03 Bn | 43.58 Bn | 959.92 Mn | 0.32 |
| 6 | Zscaler | 33.24 Bn | 19.40 Bn | 689.22 Mn | -0.02 |
| 7 | Axon Enterprise | 31.08 Bn | 25.60 Bn | 546.45 Mn | 0.36 |
| 8 | Okta | 28.61 Bn | 18.70 Bn | 641.00 Mn | 0.65 |
| 9 | Baidu | 27.04 Bn | -46.40 Bn | 1.76 Mn | 7.98 |
| 10 | Arlo Technologies | 1.60 Bn | 1.12 Bn | 69.36 Mn | 0.01 |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 0.01 |
| Jun 28, 2026 | 0.03 |
| Mar 29, 2026 | 0.13 |
| Dec 31, 2025 | 0.05 |
| Sep 28, 2025 | 0.06 |
| Jun 29, 2025 | 0.03 |
| Mar 30, 2025 | -0.01 |
| Dec 31, 2024 | -0.05 |
| Sep 29, 2024 | -0.04 |
| Jun 30, 2024 | -0.12 |
| Mar 31, 2024 | -0.10 |
| Dec 31, 2023 | 0.01 |
| Oct 1, 2023 | -0.01 |
| Jul 2, 2023 | -0.08 |
| Apr 2, 2023 | -0.16 |
| Dec 31, 2022 | -0.25 |
| Oct 2, 2022 | -0.16 |
| Jul 3, 2022 | -0.13 |
| Apr 3, 2022 | -0.10 |
| Dec 31, 2021 | -0.08 |
Arlo Technologies EPS (Diluted) 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=eps-diluted&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();