Microsoft (MSFT) EV to EBITDA (2009 - 2026)
Microsoft's (MSFT) quarterly EV to EBITDA came in at 64.96 in Q2 2026, down 36.99% year-over-year from 103.1 in Q2 2025, and down 4.99% quarter-over-quarter from 68.38 in Q1 2026.
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Analysis
Microsoft (MSFT) EV to EBITDA (2009 - 2026) Analysis & Trends
Microsoft has disclosed EV to EBITDA across 18 years of filings, most recently posting 64.96 for Q2 2026.
- In Q2 2026, EV to EBITDA fell 36.99% year-over-year to 64.96; the TTM figure through Jun 2026 stood at 16.99 (down 38.29% YoY), while the FY2026 annual figure was 16.99, down 38.29% from the prior year.
- EV to EBITDA came in at 64.96 for Q2 2026 at Microsoft, down from 68.38 in the prior quarter.
- In the past five years, EV to EBITDA ranged from a high of 114.23 in Q2 2024 to a low of 64.96 in Q2 2026.
- Average EV to EBITDA over 5 years is 90.21, with a median of 92.43 recorded in 2024.
- Year-over-year, EV to EBITDA gained 26.09% in 2024 and plunged 36.99% in 2026.
- Over 5 years, EV to EBITDA stood at 78.56 in 2022, then rose by 24.78% to 98.03 in 2023, then decreased by 3.05% to 95.04 in 2024, then decreased by 5.48% to 89.83 in 2025, then decreased by 27.68% to 64.96 in 2026.
- Per Business Quant data, the three most recent EV to EBITDA figures were 64.96 in Q2 2026, 68.38 in Q1 2026, and 89.83 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.28 |
| Mar 31, 2026 | 13.77 |
| Dec 31, 2025 | 18.90 |
| Sep 30, 2025 | 21.40 |
| Jun 30, 2025 | 22.31 |
| Mar 31, 2025 | 17.98 |
| Dec 31, 2024 | 21.21 |
| Sep 30, 2024 | 22.28 |
| Jun 30, 2024 | 24.46 |
| Mar 31, 2024 | 23.79 |
| Dec 31, 2023 | 22.49 |
| Sep 30, 2023 | 19.64 |
| Jun 30, 2023 | 22.89 |
| Mar 31, 2023 | 19.86 |
| Dec 31, 2022 | 16.52 |
| Sep 30, 2022 | 15.65 |
| Jun 30, 2022 | 17.59 |
| Mar 31, 2022 | 22.03 |
| Dec 31, 2021 | 25.02 |
| Sep 30, 2021 | 21.67 |
API Access
Microsoft 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=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MSFT", "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=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();