International Business Machines (IBM) Shares Outstanding (2009 - 2026)
International Business Machines (IBM) posted Weighted Average Shares Outstanding of 941.2 million for Q3 2026, up 0.8% from 933.9 million a year earlier and unchanged from the prior quarter.
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Analysis
International Business Machines (IBM) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, International Business Machines' Weighted Average Shares Outstanding came in at 932.29 million, up 1.1% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, International Business Machines' Weighted Average Shares Outstanding was 921.77 million in FY2024 (+1.2%), 911.21 million in FY2023 (+0.9%), 902.66 million in FY2022 (+0.7%) and 895.99 million in FY2021 (+0.6%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 26 quarters, with growth averaging 1.1% over the last eight quarters.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 941.2 million (Q2 2026), 938.53 million (Q1 2026) and 932.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 7.43 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 944.40 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 357.13 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 98.79 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 158.00 Mn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 242.53 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 90.10 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 268.69 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 125.08 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 143.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 944.40 Mn |
| Jun 30, 2026 | 941.20 Mn |
| Mar 31, 2026 | 938.53 Mn |
| Dec 31, 2025 | 932.29 Mn |
| Sep 30, 2025 | 933.90 Mn |
| Jun 30, 2025 | 930.81 Mn |
| Mar 31, 2025 | 928.01 Mn |
| Dec 31, 2024 | 921.77 Mn |
| Sep 30, 2024 | 923.60 Mn |
| Jun 30, 2024 | 920.30 Mn |
| Mar 31, 2024 | 917.20 Mn |
| Dec 31, 2023 | 911.21 Mn |
| Sep 30, 2023 | 912.80 Mn |
| Jun 30, 2023 | 909.90 Mn |
| Mar 31, 2023 | 907.53 Mn |
| Dec 31, 2022 | 902.66 Mn |
| Sep 30, 2022 | 904.10 Mn |
| Jun 30, 2022 | 901.50 Mn |
| Mar 31, 2022 | 899.32 Mn |
| Dec 31, 2021 | 895.99 Mn |
API Access
International Business Machines 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=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "IBM", "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=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();