International Business Machines (IBM) EBITDA (2009 - 2026)
International Business Machines (IBM) reported EBITDA of $3.96 billion for Q2 2026, down 3.7% from $4.12 billion a year earlier but up 33.8% from the prior quarter.
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Analysis
International Business Machines (IBM) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, International Business Machines' EBITDA came in at $16.31 billion, up 15.6% year-over-year; for FY2025, it was $15.88 billion, up 21.7% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- By year, EBITDA came in at $13.05 billion in FY2024 (+1.0%), $12.92 billion in FY2023 (+2.7%), $12.58 billion in FY2022 (+9.7%) and $11.46 billion in FY2021 (+23.8%).
- Five-year quarterly EBITDA spans a low of $2.08 billion in Q1 2023 and a high of $5.58 billion in Q4 2025.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 12.7%.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 245.6%); the low point was Q3 2021 (a decline of 27.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.96 billion (Q1 2026), $5.58 billion (Q4 2025) and $3.81 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 51.63 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 3.96 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -107.83 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.22 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 83.80 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 1.34 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 302.90 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 87.05 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 265.82 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 80.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.96 Bn |
| Mar 31, 2026 | 2.96 Bn |
| Dec 31, 2025 | 5.58 Bn |
| Sep 30, 2025 | 3.81 Bn |
| Jun 30, 2025 | 4.12 Bn |
| Mar 31, 2025 | 2.37 Bn |
| Dec 31, 2024 | 4.72 Bn |
| Sep 30, 2024 | 2.90 Bn |
| Jun 30, 2024 | 3.33 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 4.88 Bn |
| Sep 30, 2023 | 2.97 Bn |
| Jun 30, 2023 | 2.99 Bn |
| Mar 31, 2023 | 2.08 Bn |
| Dec 31, 2022 | 4.40 Bn |
| Sep 30, 2022 | 2.59 Bn |
| Jun 30, 2022 | 3.01 Bn |
| Mar 31, 2022 | 2.32 Bn |
| Dec 31, 2021 | 4.35 Bn |
| Sep 30, 2021 | 2.87 Bn |
API Access
International Business Machines EBITDA 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=ebitda&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();