Grid Dynamics Holdings (GDYN) Return on Capital Employed [ROCE] (2019 - 2026)
Grid Dynamics Holdings' Return on Capital Employed [ROCE] was -0.39% in Q2 2026, down 0.62 percentage points from 0.23% a year earlier but up 0.25 percentage points from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Grid Dynamics Holdings came in at -0.34%, up 0.12 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a five-year change of +14.23 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -0.46% in FY2024 (+1.01 pp), -1.46% in FY2023 (+5.65 pp), -7.12% in FY2022 (-7.14 pp) and 0.03% in FY2021 (+14.60 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -7.45% (Q1 2023) and 0.87% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in six of the last eight quarters, with an average year-over-year change of +0.68 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 10.38 percentage points); the worst was Q1 2023 (a drop of 8.32 percentage points).
- Per Business Quant data, GDYN's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -0.64% (Q1 2026), -0.34% (Q4 2025) and -0.21% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 19.74% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 18.27% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 16.31% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 9.82% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 20.82% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 15.70% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 14.15% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 23.59% |
| 10 | Grid Dynamics Holdings | 1.13 Bn | -142.98 Mn | 46.08 Mn | 1.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.33% |
| Jun 30, 2026 | -0.39% |
| Mar 31, 2026 | -0.64% |
| Dec 31, 2025 | -0.34% |
| Sep 30, 2025 | -0.21% |
| Jun 30, 2025 | 0.23% |
| Mar 31, 2025 | 0.26% |
| Dec 31, 2024 | -0.44% |
| Sep 30, 2024 | -1.09% |
| Jun 30, 2024 | -1.63% |
| Mar 31, 2024 | -1.31% |
| Dec 31, 2023 | -1.42% |
| Sep 30, 2023 | -2.66% |
| Jun 30, 2023 | -4.04% |
| Mar 31, 2023 | -7.45% |
| Dec 31, 2022 | -5.80% |
| Sep 30, 2022 | -5.59% |
| Jun 30, 2022 | -4.28% |
| Mar 31, 2022 | 0.87% |
| Dec 31, 2021 | 0.02% |
API Access
Grid Dynamics Holdings 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=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GDYN", "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=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();