Grid Dynamics Holdings (GDYN) EV to EBITDA (2019 - 2026)
Grid Dynamics Holdings' (GDYN) EV to EBITDA was 8.80 for Q2 2026, down 74.0% from 33.84 a year earlier and down 1.6% from the prior quarter.
Grid Dynamics Holdings (GDYN) EV to EBITDA (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Grid Dynamics Holdings' EV to EBITDA came in at -45.93; for FY2025, it came in at 23.71, down 81.2% from FY2024.
- By year, EV to EBITDA came in at 125.78 in FY2024 (-44.2%), 225.45 in FY2023 and 469.50 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA in data going back to Q4 2019.
- Year over year, EV to EBITDA has now declined in each of the last seven quarters, with an average decline of 70.8% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.94 (Q1 2026), 23.71 (Q4 2025) and 17.34 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Grid Dynamics Holdings | 615.35 Mn | -691.16 Mn | 39.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.80 |
| Mar 31, 2026 | 8.94 |
| Dec 31, 2025 | 23.71 |
| Sep 30, 2025 | 17.34 |
| Jun 30, 2025 | 33.84 |
| Mar 31, 2025 | 57.17 |
| Dec 31, 2024 | 125.78 |
| Sep 30, 2024 | 107.83 |
| Jun 30, 2024 | 112.63 |
| Mar 31, 2024 | 136.43 |
| Dec 31, 2023 | 225.45 |
| Mar 31, 2022 | 102.40 |
| Dec 31, 2021 | 469.50 |
| Sep 30, 2021 | 735.56 |
| Jun 30, 2020 | 115.35 |
| Mar 31, 2020 | 28.58 |
| Dec 31, 2019 | 11.63 |
Grid Dynamics Holdings EV to EBITDA 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=ev-to-ebitda&ticker=GDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();