Arlo Technologies (ARLO) Shares Outstanding (2017 - 2026)
Arlo Technologies (ARLO) reported Shares Outstanding of 108.12 million for Q2 2026, up 4.1% from 103.89 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Arlo Technologies posted Shares Outstanding of 104.2 million, up 5.7% from FY2024.
- Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 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 ranks as the highest quarterly Shares Outstanding in data going back to Q2 2017.
- Year over year, Shares Outstanding has now increased in each of the last 32 quarters, with growth averaging 5.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 4.1% (Q2 2026) to 7.4% (Q1 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at 107 million (Q1 2026), 104.2 million (Q4 2025) and 105.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 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 | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 108.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 108.12 Mn |
| Mar 29, 2026 | 107.00 Mn |
| Dec 31, 2025 | 104.20 Mn |
| Sep 28, 2025 | 105.20 Mn |
| Jun 29, 2025 | 103.89 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 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&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();