Grid Dynamics Holdings (GDYN) Accumulated Expenses (2018 - 2026)
Grid Dynamics Holdings (GDYN) posted Accumulated Expenses of $17.83 million for Q3 2026, down 2.6% from $18.3 million a year earlier but up 10.3% from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Grid Dynamics Holdings' Accumulated Expenses came in at $16.61 million, down 31.9% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 92.5% (FY2020 to FY2025).
- In prior years, Grid Dynamics Holdings' Accumulated Expenses was $24.38 million in FY2024 (+61.4%), $15.1 million in FY2023 (+77.2%), $8.53 million in FY2022 (-20.7%) and $10.75 million in FY2021.
- Quarterly Accumulated Expenses has run from a low of $1.02 million in Q1 2022 to a high of $24.38 million in Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with growth averaging 71.5% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 962.9%; the weakest was Q1 2024, with a decline of 45.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $16.17 million (Q2 2026), $17.37 million (Q1 2026) and $16.61 million (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 | 17.83 Mn |
| Jun 30, 2026 | 16.17 Mn |
| Mar 31, 2026 | 17.37 Mn |
| Dec 31, 2025 | 16.61 Mn |
| Sep 30, 2025 | 18.30 Mn |
| Jun 30, 2025 | 18.63 Mn |
| Mar 31, 2025 | 20.99 Mn |
| Dec 31, 2024 | 24.38 Mn |
| Sep 30, 2024 | 9.16 Mn |
| Jun 30, 2024 | 5.84 Mn |
| Mar 31, 2024 | 5.89 Mn |
| Dec 31, 2023 | 15.10 Mn |
| Sep 30, 2023 | 7.25 Mn |
| Jun 30, 2023 | 8.97 Mn |
| Mar 31, 2023 | 10.83 Mn |
| Dec 31, 2022 | 8.53 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Jun 30, 2022 | 1.93 Mn |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 10.75 Mn |
API Access
Grid Dynamics Holdings Accumulated Expenses 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=accumulated-expenses&ticker=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();