Grid Dynamics Holdings (GDYN) Receivables (2019 - 2026)
Grid Dynamics Holdings (GDYN) posted Receivables of $95.86 million for Q2 2026, up 23.2% from $77.83 million a year earlier and up 9.3% from the prior quarter.
Grid Dynamics Holdings (GDYN) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Grid Dynamics Holdings' Receivables came in at $79.79 million, up 14.8% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In prior years, Grid Dynamics Holdings' Receivables was $69.47 million in FY2024 (+21.3%), $57.29 million in FY2023 (+6.2%), $53.95 million in FY2022 (+24.6%) and $43.31 million in FY2021 (+131.8%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2019.
- On a year-over-year basis, Receivables has increased in each of the last eight quarters, with growth averaging 24.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2021, with growth of 133.5%; the weakest was Q2 2022, with a decline of 16.4%.
- According to Business Quant data, Receivables for the three prior quarters was $87.72 million (Q1 2026), $79.79 million (Q4 2025) and $83.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Grid Dynamics Holdings | 615.35 Mn | -691.16 Mn | 39.62 Mn | 95.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.86 Mn |
| Mar 31, 2026 | 87.72 Mn |
| Dec 31, 2025 | 79.79 Mn |
| Sep 30, 2025 | 83.10 Mn |
| Jun 30, 2025 | 77.83 Mn |
| Mar 31, 2025 | 81.78 Mn |
| Dec 31, 2024 | 69.47 Mn |
| Sep 30, 2024 | 70.06 Mn |
| Jun 30, 2024 | 55.74 Mn |
| Mar 31, 2024 | 58.69 Mn |
| Dec 31, 2023 | 57.29 Mn |
| Sep 30, 2023 | 54.34 Mn |
| Jun 30, 2023 | 56.88 Mn |
| Mar 31, 2023 | 57.46 Mn |
| Dec 31, 2022 | 53.95 Mn |
| Sep 30, 2022 | 54.47 Mn |
| Jun 30, 2022 | 48.76 Mn |
| Mar 31, 2022 | 46.71 Mn |
| Dec 31, 2021 | 39.44 Mn |
| Sep 30, 2021 | 35.67 Mn |
Grid Dynamics Holdings Receivables 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=receivables&ticker=GDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();