Grid Dynamics Holdings (GDYN) Cash & Equivalents (2018 - 2026)
Grid Dynamics Holdings' Cash & Equivalents came in at $304.29 million for Q3 2026, down 10.1% from $338.55 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Grid Dynamics Holdings' Cash & Equivalents was $342.06 million, up 2.2% from FY2024.
- Cash & Equivalents has increased in each of the last six years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $334.66 million in FY2024 (+30.1%), $257.23 million in FY2023 (+0.2%), $256.73 million in FY2022 (+77.8%) and $144.36 million in FY2021 (+28.0%).
- The five-year range for quarterly Cash & Equivalents is $144.36 million (Q4 2021) to $342.06 million (Q4 2025).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 15.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2022 (growth of 120.7%), and the weakest in Q2 2026 (a decline of 11.4%).
- Business Quant data shows GDYN's Cash & Equivalents at $298.43 million (Q2 2026), $327.47 million (Q1 2026) and $342.06 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | 1.52 Bn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 1.54 Bn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 749.30 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 440.31 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 215.61 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 965.17 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 236.78 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 154.07 Mn |
| 10 | Grid Dynamics Holdings | 1.13 Bn | -142.98 Mn | 46.08 Mn | 304.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 304.29 Mn |
| Jun 30, 2026 | 298.43 Mn |
| Mar 31, 2026 | 327.47 Mn |
| Dec 31, 2025 | 342.06 Mn |
| Sep 30, 2025 | 338.55 Mn |
| Jun 30, 2025 | 336.75 Mn |
| Mar 31, 2025 | 325.55 Mn |
| Dec 31, 2024 | 334.66 Mn |
| Sep 30, 2024 | 231.26 Mn |
| Jun 30, 2024 | 256.04 Mn |
| Mar 31, 2024 | 249.44 Mn |
| Dec 31, 2023 | 257.23 Mn |
| Sep 30, 2023 | 253.71 Mn |
| Jun 30, 2023 | 246.18 Mn |
| Mar 31, 2023 | 258.37 Mn |
| Dec 31, 2022 | 256.73 Mn |
| Sep 30, 2022 | 255.19 Mn |
| Jun 30, 2022 | 150.02 Mn |
| Mar 31, 2022 | 153.31 Mn |
| Dec 31, 2021 | 144.36 Mn |
API Access
Grid Dynamics Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();