Microsoft (MSFT) Buildings (2009 - 2026)
Microsoft's (MSFT) quarterly Buildings came in at $182.7 billion in Q2 2026, up 32.5% year-over-year from $137.9 billion in Q2 2025, and up 6.09% quarter-over-quarter from $172.3 billion in Q1 2026.
Microsoft (MSFT) Buildings (2009 - 2026) Analysis & Trends
Microsoft has disclosed Buildings across 18 years of filings, most recently posting $182.7 billion for Q2 2026.
- In Q2 2026, Buildings rose 32.5% year-over-year to $182.7 billion; the TTM figure through Jun 2026 stood at $182.7 billion (up 32.5% YoY), while the FY2026 annual figure was $182.7 billion, up 32.5% from the prior year.
- Buildings came in at $182.7 billion for Q2 2026 at Microsoft, up from $172.3 billion in the prior quarter.
- In the past five years, Buildings ranged from a high of $182.7 billion in Q2 2026 to a low of $55.0 billion in Q2 2022.
- Average Buildings over 5 years is $128.3 billion, with a median of $145.2 billion recorded in 2025.
- Year-over-year, Buildings climbed 24.45% in 2023 and jumped 46.81% in 2025.
- Over 5 years, Buildings stood at $55.0 billion in 2022, then increased by 24.45% to $68.5 billion in 2023, then surged by 37.21% to $93.9 billion in 2024, then soared by 74.56% to $164.0 billion in 2025, then increased by 11.44% to $182.7 billion in 2026.
- Per Business Quant data, the three most recent Buildings figures were $182.7 billion in Q2 2026, $172.3 billion in Q1 2026, and $164.0 billion in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.75 Bn |
| Mar 31, 2026 | 172.26 Bn |
| Dec 31, 2025 | 163.99 Bn |
| Sep 30, 2025 | 152.43 Bn |
| Jun 30, 2025 | 137.92 Bn |
| Jun 30, 2024 | 93.94 Bn |
| Jun 30, 2023 | 68.47 Bn |
| Jun 30, 2022 | 55.01 Bn |
| Jun 30, 2021 | 43.93 Bn |
| Jun 30, 2020 | 34.00 Bn |
| Jun 30, 2019 | 26.29 Bn |
| Jun 30, 2018 | 20.60 Bn |
| Jun 30, 2017 | 16.28 Bn |
| Jun 30, 2016 | 12.39 Bn |
| Jun 30, 2015 | 10.80 Bn |
| Jun 30, 2014 | 8.87 Bn |
| Jun 30, 2013 | 7.33 Bn |
| Jun 30, 2012 | 6.77 Bn |
| Jun 30, 2011 | 6.52 Bn |
| Jun 30, 2010 | 6.09 Bn |
Microsoft Buildings 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=buildings&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();