International Business Machines (IBM) EPS (Diluted) (2009 - 2026)
International Business Machines' EPS (Diluted) came in at $2.27 for Q2 2026, down 1.9% from $2.31 a year earlier but up 77.8% from the prior quarter.
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Analysis
International Business Machines (IBM) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, International Business Machines reported EPS (Diluted) of $11.25, up 82.8% year-over-year; for FY2025, it came in at $11.17, up 73.7% from FY2024.
- EPS (Diluted) carries a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $6.43 in FY2024 (-21.0%), $8.14 in FY2023 (+352.9%), $1.80 in FY2022 (-71.7%) and $6.35 in FY2021 (+1.8%).
- The five-year range for quarterly EPS (Diluted) is -$3.54 (Q3 2022) to $5.90 (Q4 2025).
- Year-over-year, EPS (Diluted) increased in three of the last six quarters, with growth averaging 12.1%.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q4 2025 (growth of 89.8%), and the weakest in Q1 2025 (a decline of 35.1%).
- Business Quant data shows IBM's EPS (Diluted) at $1.28 (Q1 2026), $5.90 (Q4 2025) and $1.84 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 4.80 |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 2.27 |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -0.48 |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 4.83 |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -0.67 |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.14 |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 2.38 |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 4.35 |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 0.52 |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 0.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 |
| Mar 31, 2026 | 1.28 |
| Dec 31, 2025 | 5.90 |
| Sep 30, 2025 | 1.84 |
| Jun 30, 2025 | 2.31 |
| Mar 31, 2025 | 1.12 |
| Dec 31, 2024 | 3.11 |
| Sep 30, 2024 | -0.36 |
| Jun 30, 2024 | 1.96 |
| Mar 31, 2024 | 1.72 |
| Dec 31, 2023 | 3.57 |
| Sep 30, 2023 | 1.84 |
| Jun 30, 2023 | 1.72 |
| Mar 31, 2023 | 1.01 |
| Dec 31, 2022 | 2.97 |
| Sep 30, 2022 | -3.54 |
| Jun 30, 2022 | 1.53 |
| Mar 31, 2022 | 0.81 |
| Dec 31, 2021 | 2.58 |
| Sep 30, 2021 | 1.25 |
API Access
International Business Machines 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=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();