GoDaddy (GDDY) Price to Book (2015 - 2026)
GoDaddy's (GDDY) Price to Book was 1606.82 for Q2 2026, compared with 61.83 a year earlier.
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Analysis
GoDaddy (GDDY) Price to Book (2015 - 2026) Analysis & Trends
For FY2025, Price to Book at GoDaddy was 77.72, up 93.0% from FY2024.
- By year, Price to Book came in at 40.27 in FY2024 (-83.4%), 242.45 in FY2023 and 170.23 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Price to Book in data going back to Q1 2015.
- Year over year, Price to Book gained in three of the last six quarters, with growth averaging 56.8%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 46.22 (Q1 2026), 77.72 (Q4 2025) and 201.93 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,606.82 |
| Mar 31, 2026 | 46.22 |
| Dec 31, 2025 | 77.72 |
| Sep 30, 2025 | 201.93 |
| Jun 30, 2025 | 61.83 |
| Mar 31, 2025 | 128.53 |
| Dec 31, 2024 | 40.27 |
| Sep 30, 2024 | 61.71 |
| Jun 30, 2024 | 125.45 |
| Mar 31, 2024 | 40.33 |
| Dec 31, 2023 | 242.45 |
| Dec 31, 2021 | 170.23 |
| Mar 31, 2020 | 19.57 |
| Dec 31, 2019 | 15.01 |
| Sep 30, 2019 | 16.64 |
| Jun 30, 2019 | 12.96 |
| Mar 31, 2019 | 14.26 |
| Dec 31, 2018 | 13.91 |
| Sep 30, 2018 | 19.80 |
| Jun 30, 2018 | 18.01 |
API Access
GoDaddy 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=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "GDDY", "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=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();