Grid Dynamics Holdings (GDYN) Non-Current Assets (2018 - 2026)
Grid Dynamics Holdings (GDYN) posted Non-Current Assets of $190.07 million for Q2 2026, up 8.1% from $175.89 million a year earlier and up 10.0% from the prior quarter.
Grid Dynamics Holdings (GDYN) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Grid Dynamics Holdings' Non-Current Assets came in at $173.36 million, up 2.6% from FY2024.
- Annual Non-Current Assets has increased for six consecutive years, with a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- In prior years, Grid Dynamics Holdings' Non-Current Assets was $168.89 million in FY2024 (+51.9%), $111.19 million in FY2023 (+26.3%), $88.02 million in FY2022 (+37.6%) and $63.96 million in FY2021 (+96.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q3 2019.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 23 quarters, with growth averaging 27.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 2.1% (Q1 2026) to 539.8% (Q3 2021).
- According to Business Quant data, Non-Current Assets for the three prior quarters was $172.78 million (Q1 2026), $173.36 million (Q4 2025) and $172.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 8.92 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.39 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.09 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.00 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Grid Dynamics Holdings | 615.35 Mn | -691.16 Mn | 39.62 Mn | 190.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.07 Mn |
| Mar 31, 2026 | 172.78 Mn |
| Dec 31, 2025 | 173.36 Mn |
| Sep 30, 2025 | 172.50 Mn |
| Jun 30, 2025 | 175.89 Mn |
| Mar 31, 2025 | 169.22 Mn |
| Dec 31, 2024 | 168.89 Mn |
| Sep 30, 2024 | 154.26 Mn |
| Jun 30, 2024 | 113.21 Mn |
| Mar 31, 2024 | 112.76 Mn |
| Dec 31, 2023 | 111.19 Mn |
| Sep 30, 2023 | 109.70 Mn |
| Jun 30, 2023 | 109.77 Mn |
| Mar 31, 2023 | 89.51 Mn |
| Dec 31, 2022 | 88.02 Mn |
| Sep 30, 2022 | 70.78 Mn |
| Jun 30, 2022 | 70.42 Mn |
| Mar 31, 2022 | 69.23 Mn |
| Dec 31, 2021 | 63.96 Mn |
| Sep 30, 2021 | 63.74 Mn |
Grid Dynamics Holdings Non-Current Assets 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=non-current-assets&ticker=GDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();