Grid Dynamics Holdings (GDYN) Other Operating Expenses (2019 - 2026)
Grid Dynamics Holdings' Other Operating Expenses came in at $7.12 million for Q2 2026, up 0.1% from $7.12 million a year earlier but down 7.4% from the prior quarter.
Grid Dynamics Holdings (GDYN) Other Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Grid Dynamics Holdings reported Other Operating Expenses of $29.48 million, up 0.2% year-over-year; for FY2025, it came in at $30.03 million, up 4.9% from FY2024.
- Other Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $28.62 million in FY2024 (+18.5%), $24.15 million in FY2023 (+21.9%), $19.81 million in FY2022 (+37.0%) and $14.46 million in FY2021 (+43.8%).
- The five-year range for quarterly Other Operating Expenses is $4.07 million (Q3 2021) to $8.26 million (Q1 2025).
- Year-over-year, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 4.6%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 81.4%), and the weakest in Q1 2026 (a decline of 6.8%).
- Business Quant data shows GDYN's Other Operating Expenses at $7.69 million (Q1 2026), $7.32 million (Q4 2025) and $7.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Grid Dynamics Holdings | 638.86 Mn | -667.64 Mn | 39.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.12 Mn |
| Mar 31, 2026 | 7.69 Mn |
| Dec 31, 2025 | 7.32 Mn |
| Sep 30, 2025 | 7.34 Mn |
| Jun 30, 2025 | 7.12 Mn |
| Mar 31, 2025 | 8.26 Mn |
| Dec 31, 2024 | 7.23 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 7.29 Mn |
| Mar 31, 2024 | 7.29 Mn |
| Dec 31, 2023 | 6.42 Mn |
| Sep 30, 2023 | 6.13 Mn |
| Jun 30, 2023 | 5.96 Mn |
| Mar 31, 2023 | 5.63 Mn |
| Dec 31, 2022 | 5.38 Mn |
| Sep 30, 2022 | 5.08 Mn |
| Jun 30, 2022 | 5.13 Mn |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 4.52 Mn |
| Sep 30, 2021 | 4.07 Mn |
Grid Dynamics Holdings Other Operating 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=other-operating-expenses&ticker=GDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();