Microsoft (MSFT) Capital Expenditures (2009 - 2026)
Microsoft (MSFT) reported Capital Expenditures of $35.8 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 109.6% from $17.08 billion a year earlier and up 16.0% from the prior quarter.
Microsoft (MSFT) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Microsoft posted Capital Expenditures of $115.95 billion, up 79.6% from FY2025.
- Capital Expenditures has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 41.2% (FY2021 to FY2026).
- By fiscal year, Capital Expenditures came in at $64.55 billion in FY2025 (+45.1%), $44.48 billion in FY2024 (+58.2%), $28.11 billion in FY2023 (+17.7%) and $23.89 billion in FY2022 (+15.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to fiscal Q3 2009.
- Year over year, Capital Expenditures has now increased in each of the last 26 quarters, with growth averaging 62.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Capital Expenditures ranged from 4.9% (fiscal Q3 2022) to 109.6% (fiscal Q4 2026).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $30.88 billion (Q3 2026), $29.88 billion (Q2 2026) and $19.39 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,932.24 Bn | 3,855.40 Bn | 60.48 Bn | 35.80 Bn |
| 2 | International Business Machines | 219.04 Bn | 169.85 Bn | 9.91 Bn | 229.00 Mn |
| 3 | Cloudflare | 104.70 Bn | 88.23 Bn | 499.52 Mn | 49.96 Mn |
| 4 | Equinix | 97.19 Bn | 85.75 Bn | 1.40 Bn | 1.68 Bn |
| 5 | Nebius | 40.23 Bn | 13.66 Bn | 448.70 Mn | -5.66 Bn |
| 6 | CoreWeave | 33.76 Bn | 20.85 Bn | 1.70 Bn | 6.42 Bn |
| 7 | Verisign | 27.46 Bn | 24.67 Bn | 384.60 Mn | 18.80 Mn |
| 8 | Nutanix | 17.98 Bn | 9.67 Bn | 651.35 Mn | 37.44 Mn |
| 9 | GoDaddy | 13.83 Bn | 9.41 Bn | 828.20 Mn | 5.10 Mn |
| 10 | Akamai Technologies | 12.69 Bn | 6.10 Bn | 613.75 Mn | 144.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.80 Bn |
| Mar 31, 2026 | 30.88 Bn |
| Dec 31, 2025 | 29.88 Bn |
| Sep 30, 2025 | 19.39 Bn |
| Jun 30, 2025 | 17.08 Bn |
| Mar 31, 2025 | 16.75 Bn |
| Dec 31, 2024 | 15.80 Bn |
| Sep 30, 2024 | 14.92 Bn |
| Jun 30, 2024 | 13.87 Bn |
| Mar 31, 2024 | 10.95 Bn |
| Dec 31, 2023 | 9.74 Bn |
| Sep 30, 2023 | 9.92 Bn |
| Jun 30, 2023 | 8.94 Bn |
| Mar 31, 2023 | 6.61 Bn |
| Dec 31, 2022 | 6.27 Bn |
| Sep 30, 2022 | 6.28 Bn |
| Jun 30, 2022 | 6.87 Bn |
| Mar 31, 2022 | 5.34 Bn |
| Dec 31, 2021 | 5.87 Bn |
| Sep 30, 2021 | 5.81 Bn |
Microsoft Capital Expenditures 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=capital-expenditures&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();