Grid Dynamics Holdings (GDYN) Price to Earnings (2019 - 2026)
Grid Dynamics Holdings' Price to Earnings was 81.39 in Q3 2026, up 73.1% from 47.03 a year earlier but down 49.4% from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Price to Earnings (2019 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Grid Dynamics Holdings came in at 79.06, down 82.8% from FY2024.
- In earlier years, Price to Earnings was 460.15 in FY2024.
- Quarterly Price to Earnings has moved between 47.03 (Q3 2025) and 460.15 (Q4 2024) over five years.
- Compared with a year earlier, Price to Earnings was higher in two of the last six quarters, with an average decline of 2.7%.
- Per Business Quant data, GDYN's Price to Earnings in the three quarters before Q3 2026 was 160.90 (Q2 2026), 90.16 (Q1 2026) and 79.06 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn |
| 10 | Grid Dynamics Holdings | 1.13 Bn | -142.98 Mn | 46.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.63 |
| Jun 30, 2026 | 160.90 |
| Mar 31, 2026 | 90.16 |
| Dec 31, 2025 | 79.06 |
| Sep 30, 2025 | 47.03 |
| Jun 30, 2025 | 57.52 |
| Mar 31, 2025 | 121.30 |
| Dec 31, 2024 | 460.15 |
| Sep 30, 2024 | 444.15 |
| Mar 31, 2024 | 416.68 |
| Mar 31, 2020 | 79.40 |
| Dec 31, 2019 | 29.27 |
| Sep 30, 2019 | 32.70 |
API Access
Grid Dynamics Holdings Price to Earnings 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-earnings&ticker=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();