International Business Machines (IBM) Profit After Tax (2009 - 2026)
International Business Machines (IBM) reported Profit After Tax of $2.17 billion for Q2 2026, down 1.2% from $2.19 billion a year earlier but up 78.3% from the prior quarter.
International Business Machines (IBM) Profit After Tax (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, International Business Machines' Profit After Tax came in at $10.7 billion, up 82.7% year-over-year; for FY2025, it was $10.57 billion, up 75.7% from FY2024.
- Profit After Tax has a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- By year, Profit After Tax came in at $6.02 billion in FY2024 (-19.9%), $7.51 billion in FY2023 (+321.7%), $1.78 billion in FY2022 (-62.2%) and $4.71 billion in FY2021 (+19.9%).
- Five-year quarterly Profit After Tax spans a low of -$3.21 billion in Q3 2022 and a high of $5.58 billion in Q4 2025.
- Year over year, Profit After Tax gained in three of the last six quarters, with growth averaging 13.4%.
- The high point for year-over-year Profit After Tax in five years was Q4 2025 (growth of 90.6%); the low point was Q3 2021 (a decline of 39.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.22 billion (Q1 2026), $5.58 billion (Q4 2025) and $1.74 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 35.77 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 2.17 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -169.98 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 477.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -190.40 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -626.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 216.50 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 1.27 Bn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 79.40 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 35.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Bn |
| Mar 31, 2026 | 1.22 Bn |
| Dec 31, 2025 | 5.58 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 2.19 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 2.93 Bn |
| Sep 30, 2024 | -317.00 Mn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.58 Bn |
| Dec 31, 2023 | 3.29 Bn |
| Sep 30, 2023 | 1.71 Bn |
| Jun 30, 2023 | 1.58 Bn |
| Mar 31, 2023 | 934.00 Mn |
| Dec 31, 2022 | 2.87 Bn |
| Sep 30, 2022 | -3.21 Bn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | 662.00 Mn |
| Dec 31, 2021 | 2.46 Bn |
| Sep 30, 2021 | 1.04 Bn |
International Business Machines Profit After Tax 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=profit-after-tax&ticker=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();