Microsoft (MSFT) Price to Book (2009 - 2026)
Microsoft's (MSFT) quarterly Price to Book came in at 6.26 in Q2 2026, down 41.83% year-over-year from 10.77 in Q2 2025, and down 5.64% quarter-over-quarter from 6.64 in Q1 2026.
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Analysis
Microsoft (MSFT) Price to Book (2009 - 2026) Analysis & Trends
Microsoft has disclosed Price to Book across 18 years of filings, most recently posting 6.26 for Q2 2026.
- In Q2 2026, Price to Book fell 41.83% year-over-year to 6.26; the TTM figure through Jun 2026 stood at 6.26 (down 41.83% YoY), while the FY2026 annual figure was 6.26, down 41.83% from the prior year.
- Price to Book came in at 6.26 for Q2 2026 at Microsoft, down from 6.64 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 14.16 in Q1 2022 to a low of 6.26 in Q2 2026.
- Average Price to Book over 5 years is 10.52, with a median of 10.7 recorded in 2023.
- Year-over-year, Price to Book gained 20.28% in 2023 and tumbled 41.83% in 2026.
- Over 5 years, Price to Book stood at 9.75 in 2022, then grew by 20.28% to 11.73 in 2023, then retreated by 11.73% to 10.35 in 2024, then decreased by 11.22% to 9.19 in 2025, then slumped by 31.87% to 6.26 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 6.26 in Q2 2026, 6.64 in Q1 2026, and 9.19 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 | 6.26 |
| Mar 31, 2026 | 6.64 |
| Dec 31, 2025 | 9.19 |
| Sep 30, 2025 | 10.61 |
| Jun 30, 2025 | 10.77 |
| Mar 31, 2025 | 8.67 |
| Dec 31, 2024 | 10.35 |
| Sep 30, 2024 | 11.12 |
| Jun 30, 2024 | 12.38 |
| Mar 31, 2024 | 12.35 |
| Dec 31, 2023 | 11.73 |
| Sep 30, 2023 | 10.63 |
| Jun 30, 2023 | 12.27 |
| Mar 31, 2023 | 11.01 |
| Dec 31, 2022 | 9.75 |
| Sep 30, 2022 | 10.01 |
| Jun 30, 2022 | 11.51 |
| Mar 31, 2022 | 14.16 |
| Dec 31, 2021 | 15.76 |
| Sep 30, 2021 | 13.93 |
API Access
Microsoft Price to Book 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=price-to-book&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();