Arlo Technologies (ARLO) Shares Outstanding (Diluted) (2017 - 2026)
Arlo Technologies (ARLO) posted Shares Outstanding (Diluted) of 110.82 million for Q2 2026, up 2.6% from 108.06 million a year earlier and up 0.3% from the prior quarter.
Powered by 
Analysis
Arlo Technologies (ARLO) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Arlo Technologies' Shares Outstanding (Diluted) came in at 110.16 million, up 11.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for eight consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Arlo Technologies' Shares Outstanding (Diluted) was 98.63 million in FY2024 (+6.3%), 92.75 million in FY2023 (+6.4%), 87.17 million in FY2022 (+5.4%) and 82.69 million in FY2021 (+5.9%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2017.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 32 quarters, with growth averaging 7.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 2.6% in Q2 2026 to 11.7% in Q4 2025.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 110.49 million (Q1 2026), 110.16 million (Q4 2025) and 109.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 110.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 110.82 Mn |
| Mar 29, 2026 | 110.49 Mn |
| Dec 31, 2025 | 110.16 Mn |
| Sep 28, 2025 | 109.64 Mn |
| Jun 29, 2025 | 108.06 Mn |
| Mar 30, 2025 | 102.22 Mn |
| Dec 31, 2024 | 98.63 Mn |
| Sep 29, 2024 | 99.73 Mn |
| Jun 30, 2024 | 97.84 Mn |
| Mar 31, 2024 | 96.26 Mn |
| Dec 31, 2023 | 92.75 Mn |
| Oct 1, 2023 | 94.24 Mn |
| Jul 2, 2023 | 92.34 Mn |
| Apr 2, 2023 | 89.65 Mn |
| Dec 31, 2022 | 87.17 Mn |
| Oct 2, 2022 | 88.12 Mn |
| Jul 3, 2022 | 86.87 Mn |
| Apr 3, 2022 | 85.22 Mn |
| Dec 31, 2021 | 82.69 Mn |
| Oct 3, 2021 | 83.81 Mn |
API Access
Arlo Technologies Shares Outstanding (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=shares-outstanding-diluted&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();