Arm Holdings (ARM) Shares Outstanding (Diluted) (2022 - 2026)
Arm Holdings (ARM) reported Weighted Average Shares Outstanding (Diluted) of 1.07 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.5% from 1.06 billion a year earlier and unchanged from the prior quarter.
Arm Holdings (ARM) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
Dating back to fiscal Q2 2023, Arm Holdings' Weighted Average Shares Outstanding (Diluted) record includes 16 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 1.0% (FY2022 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 1.06 billion in FY2025 (+1.8%), 1.04 billion in FY2024 (+1.7%), 1.03 billion in FY2023 (+0.2%) and 1.03 billion in FY2022.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 12 quarters, with growth averaging 1.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.2% (fiscal Q2 2024) to 1.8% (fiscal Q3 2026).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 1.07 billion (Q4 2026), 1.06 billion (Q3 2026) and 1.06 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,897.27 Bn | 4,671.43 Bn | 72.14 Bn | 24.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,075.59 Bn | 1,700.45 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,543.52 Bn | 1,469.56 Bn | 20.46 Bn | 4.89 Bn |
| 4 | Micron Technology | 938.84 Bn | 844.47 Bn | 47.05 Bn | 1.14 Bn |
| 5 | Advanced Micro Devices | 765.98 Bn | 722.73 Bn | 6.20 Bn | 1.66 Bn |
| 6 | Asml Holding | 593.64 Bn | 549.33 Bn | 5.90 Bn | 388.90 Mn |
| 7 | Intel | 306.44 Bn | 306.44 Bn | 7.10 Bn | 5.10 Bn |
| 8 | Applied Materials | 298.51 Bn | 263.95 Bn | 4.59 Bn | 800.00 Mn |
| 9 | Lam Research | 284.63 Bn | 260.68 Bn | 4.30 Bn | 1.26 Bn |
| 10 | Arm Holdings | 210.11 Bn | 195.82 Bn | 1.25 Bn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jun 30, 2023 | 1.03 Bn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.03 Bn |
Arm Holdings 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=ARM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ARM", "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=ARM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();