GoDaddy (GDDY) Return on Capital Employed [ROCE] (2015 - 2026)
GoDaddy's Return on Capital Employed [ROCE] was 25.57% in Q2 2026, up 5.26 percentage points from 20.30% a year earlier and up 1.93 percentage points from the prior quarter.
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Analysis
GoDaddy (GDDY) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at GoDaddy came in at 21.93%, up 4.76 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for ten consecutive years, with a five-year change of +15.22 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 17.18% in FY2024 (+5.24 pp), 11.94% in FY2023 (+1.40 pp), 10.53% in FY2022 (+2.02 pp) and 8.51% in FY2021 (+1.80 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2015.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for 12 straight quarters, with an average year-over-year change of +5.05 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2025 (a gain of 5.99 percentage points); the worst was Q2 2023 (a drop of 0.51 percentage points).
- Per Business Quant data, GDDY's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 23.64% (Q1 2026), 22.48% (Q4 2025) and 20.96% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 27.85% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 9.40% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -9.60% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 5.75% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -2.94% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -0.51% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 10.69% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 4.33% |
| 10 | GoDaddy | 12.33 Bn | 7.91 Bn | 828.20 Mn | 25.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.57% |
| Mar 31, 2026 | 23.64% |
| Dec 31, 2025 | 22.48% |
| Sep 30, 2025 | 20.96% |
| Jun 30, 2025 | 20.30% |
| Mar 31, 2025 | 18.40% |
| Dec 31, 2024 | 16.49% |
| Sep 30, 2024 | 16.31% |
| Jun 30, 2024 | 14.41% |
| Mar 31, 2024 | 12.92% |
| Dec 31, 2023 | 12.59% |
| Sep 30, 2023 | 12.31% |
| Jun 30, 2023 | 10.52% |
| Mar 31, 2023 | 10.38% |
| Dec 31, 2022 | 10.93% |
| Sep 30, 2022 | 10.83% |
| Jun 30, 2022 | 11.03% |
| Mar 31, 2022 | 9.68% |
| Dec 31, 2021 | 7.76% |
| Sep 30, 2021 | 7.22% |
API Access
GoDaddy Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GDDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GDDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();