Grid Dynamics Holdings (GDYN) Intangibles (2019 - 2026)
Grid Dynamics Holdings' Intangibles was $45.66 million in Q3 2026, up 5.2% from $43.4 million a year earlier but down 6.5% from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Grid Dynamics Holdings came in at $41.61 million, down 13.2% from FY2024.
- Intangibles shows a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- In earlier years, Intangibles was $47.92 million in FY2024 (+80.5%), $26.55 million in FY2023 (+30.3%), $20.38 million in FY2022 (+6.7%) and $19.1 million in FY2021 (+135.0%).
- Quarterly Intangibles has moved between $17.24 million (Q3 2022) and $48.83 million (Q2 2026) over five years.
- Compared with a year earlier, Intangibles was higher in six of the last eight quarters, with growth averaging 29.4%.
- The best year-over-year quarter for Intangibles over five years was Q1 2022 (growth of 135.4%); the worst was Q1 2026 (a decline of 15.0%).
- Per Business Quant data, GDYN's Intangibles in the three quarters before Q3 2026 was $48.83 million (Q2 2026), $39.58 million (Q1 2026) and $41.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 298.00 Mn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 1.61 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 1.26 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 3.56 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 67.51 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 352.89 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | - |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 99.52 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 697.00 Mn |
| 10 | Grid Dynamics Holdings | 1.08 Bn | -187.35 Mn | 46.08 Mn | 45.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.66 Mn |
| Jun 30, 2026 | 48.83 Mn |
| Mar 31, 2026 | 39.58 Mn |
| Dec 31, 2025 | 41.61 Mn |
| Sep 30, 2025 | 43.40 Mn |
| Jun 30, 2025 | 45.60 Mn |
| Mar 31, 2025 | 46.54 Mn |
| Dec 31, 2024 | 47.92 Mn |
| Sep 30, 2024 | 42.45 Mn |
| Jun 30, 2024 | 24.52 Mn |
| Mar 31, 2024 | 25.53 Mn |
| Dec 31, 2023 | 26.55 Mn |
| Sep 30, 2023 | 27.59 Mn |
| Jun 30, 2023 | 28.64 Mn |
| Mar 31, 2023 | 19.69 Mn |
| Dec 31, 2022 | 20.38 Mn |
| Sep 30, 2022 | 17.24 Mn |
| Jun 30, 2022 | 17.86 Mn |
| Mar 31, 2022 | 18.48 Mn |
| Dec 31, 2021 | 19.10 Mn |
API Access
Grid Dynamics Holdings Intangibles 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=intangibles&ticker=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();