Grid Dynamics Holdings (GDYN) Total Non-Current Liabilities (2022 - 2026)
Grid Dynamics Holdings (GDYN) posted Total Non-Current Liabilities of $76.93 million for Q2 2026, up 0.3% from $76.69 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Grid Dynamics Holdings (GDYN) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Grid Dynamics Holdings' Total Non-Current Liabilities came in at $70.82 million, up 15.2% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 16.5% (FY2022 to FY2025).
- In prior years, Grid Dynamics Holdings' Total Non-Current Liabilities was $61.48 million in FY2024 (+19.8%), $51.33 million in FY2023 (+14.5%) and $44.81 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 17.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2025, with growth of 40.2%; the weakest was Q2 2024, with a decline of 13.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $74.6 million (Q1 2026), $70.82 million (Q4 2025) and $75.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 6.34 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 5.81 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 7.97 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 32.02 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 30.80 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 1.03 Bn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 10.19 Bn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 1.03 Bn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 3.88 Bn |
| 10 | Grid Dynamics Holdings | 1.08 Bn | -187.35 Mn | 46.08 Mn | 75.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 75.32 Mn |
| Jun 30, 2026 | 76.93 Mn |
| Mar 31, 2026 | 74.60 Mn |
| Dec 31, 2025 | 70.82 Mn |
| Sep 30, 2025 | 75.45 Mn |
| Jun 30, 2025 | 76.69 Mn |
| Mar 31, 2025 | 73.54 Mn |
| Dec 31, 2024 | 61.48 Mn |
| Sep 30, 2024 | 69.53 Mn |
| Jun 30, 2024 | 55.17 Mn |
| Mar 31, 2024 | 52.45 Mn |
| Dec 31, 2023 | 51.33 Mn |
| Sep 30, 2023 | 61.89 Mn |
| Jun 30, 2023 | 64.08 Mn |
| Dec 31, 2022 | 44.81 Mn |
API Access
Grid Dynamics Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();