GoDaddy (GDDY) Property, Plant & Equipment (Net) (2014 - 2026)
GoDaddy (GDDY) recorded Property, Plant & Equipment (Net) of $140.1 million in Q2 2026, down 5.7% from $148.5 million a year earlier and down 1.5% from the prior quarter.
GoDaddy (GDDY) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, GoDaddy reported Property, Plant & Equipment (Net) of $145.4 million, down 7.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, with a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $156.4 million in FY2024 (-15.6%), $185.3 million in FY2023 (-17.9%), $225.6 million in FY2022 (+2.5%) and $220 million in FY2021 (-14.5%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 14 consecutive quarters, with an average decline of 10.1% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 2.5% in Q4 2022, against a decline of 22.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $142.2 million (Q1 2026), $145.4 million (Q4 2025) and $146.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 134.89 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 2.64 Bn |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn | 140.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.10 Mn |
| Mar 31, 2026 | 142.20 Mn |
| Dec 31, 2025 | 145.40 Mn |
| Sep 30, 2025 | 146.60 Mn |
| Jun 30, 2025 | 148.50 Mn |
| Mar 31, 2025 | 150.50 Mn |
| Dec 31, 2024 | 156.40 Mn |
| Sep 30, 2024 | 155.80 Mn |
| Jun 30, 2024 | 160.40 Mn |
| Mar 31, 2024 | 171.30 Mn |
| Dec 31, 2023 | 185.30 Mn |
| Sep 30, 2023 | 198.70 Mn |
| Jun 30, 2023 | 206.60 Mn |
| Mar 31, 2023 | 216.00 Mn |
| Dec 31, 2022 | 225.60 Mn |
| Sep 30, 2022 | 213.60 Mn |
| Jun 30, 2022 | 222.30 Mn |
| Mar 31, 2022 | 222.60 Mn |
| Dec 31, 2021 | 220.00 Mn |
| Sep 30, 2021 | 228.50 Mn |
GoDaddy Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GDDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();