International Business Machines (IBM) EV to EBITDA (2009 - 2026)
International Business Machines' (IBM) EV to EBITDA was 15.75 for Q2 2026, down 14.3% from 18.37 a year earlier but up 20.0% from the prior quarter.
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Analysis
International Business Machines (IBM) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, International Business Machines' EV to EBITDA came in at 13.23, down 12.5% year-over-year; for FY2025, it came in at 16.60, up 14.4% from FY2024.
- EV to EBITDA has increased for three consecutive years.
- By year, EV to EBITDA came in at 14.51 in FY2024 (+37.2%), 10.57 in FY2023 (+11.6%), 9.47 in FY2022 (-3.7%) and 9.84 in FY2021 (-2.4%).
- Five-year quarterly EV to EBITDA spans a low of 7.97 in Q3 2022 and a high of 18.37 in Q2 2025.
- Year over year, EV to EBITDA gained in six of the last eight quarters, with growth averaging 23.4%.
- The high point for year-over-year EV to EBITDA in five years was Q2 2025 (growth of 67.5%); the low point was Q3 2022 (a decline of 31.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 13.12 (Q1 2026), 16.60 (Q4 2025) and 16.57 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.75 |
| Mar 31, 2026 | 13.12 |
| Dec 31, 2025 | 16.60 |
| Sep 30, 2025 | 16.57 |
| Jun 30, 2025 | 18.37 |
| Mar 31, 2025 | 16.04 |
| Dec 31, 2024 | 14.51 |
| Sep 30, 2024 | 14.44 |
| Jun 30, 2024 | 10.97 |
| Mar 31, 2024 | 12.08 |
| Dec 31, 2023 | 10.57 |
| Sep 30, 2023 | 9.42 |
| Jun 30, 2023 | 8.77 |
| Mar 31, 2023 | 8.41 |
| Dec 31, 2022 | 9.68 |
| Sep 30, 2022 | 7.97 |
| Jun 30, 2022 | 9.55 |
| Mar 31, 2022 | 8.45 |
| Dec 31, 2021 | 8.91 |
| Sep 30, 2021 | 11.59 |
API Access
International Business Machines EV to 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=ev-to-ebitda&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();