GoDaddy (GDDY) Return on Sales [ROS] (2014 - 2026)
GoDaddy (GDDY) reported Return on Sales [ROS] of 26.39% for Q2 2026, up 4.52 percentage points from 21.87% a year earlier and up 1.88 percentage points from the prior quarter.
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Analysis
GoDaddy (GDDY) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GoDaddy's Return on Sales [ROS] came in at 24.82%, up 3.29 percentage points year-over-year; for FY2025, it came in at 22.77%, up 3.23 percentage points from FY2024.
- Return on Sales [ROS] has increased for 12 consecutive years, with a five-year change of +14.56 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 19.54% in FY2024 (+6.67 pp), 12.87% in FY2023 (+0.68 pp), 12.19% in FY2022 (+2.18 pp) and 10.01% in FY2021 (+1.81 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q1 2014.
- Year over year, Return on Sales [ROS] has now increased in each of the last 12 quarters, with an average year-over-year change of +4.00 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 9.03 percentage points); the low point was Q1 2023 (a drop of 4.10 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 24.51% (Q1 2026), 24.88% (Q4 2025) and 23.45% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn | 26.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.39% |
| Mar 31, 2026 | 24.51% |
| Dec 31, 2025 | 24.88% |
| Sep 30, 2025 | 23.45% |
| Jun 30, 2025 | 21.87% |
| Mar 31, 2025 | 20.71% |
| Dec 31, 2024 | 21.43% |
| Sep 30, 2024 | 22.12% |
| Jun 30, 2024 | 18.51% |
| Mar 31, 2024 | 15.87% |
| Dec 31, 2023 | 17.26% |
| Sep 30, 2023 | 15.62% |
| Jun 30, 2023 | 11.41% |
| Mar 31, 2023 | 6.83% |
| Dec 31, 2022 | 12.97% |
| Sep 30, 2022 | 12.55% |
| Jun 30, 2022 | 12.27% |
| Mar 31, 2022 | 10.93% |
| Dec 31, 2021 | 12.24% |
| Sep 30, 2021 | 13.62% |
API Access
GoDaddy Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();