Euronet Worldwide (EEFT) Total Non-Current Liabilities (2009 - 2026)
Euronet Worldwide's Total Non-Current Liabilities was $5.16 billion in Q2 2026, up 1.1% from $5.1 billion a year earlier and up 2.9% from the prior quarter.
Euronet Worldwide (EEFT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Euronet Worldwide came in at $5.07 billion, up 12.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $4.52 billion in FY2024 (-0.9%), $4.56 billion in FY2023 (+11.3%), $4.09 billion in FY2022 (+19.3%) and $3.43 billion in FY2021 (-0.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 38.7%); the worst was Q2 2023 (a decline of 8.1%).
- Per Business Quant data, EEFT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $5.02 billion (Q1 2026), $5.07 billion (Q4 2025) and $4.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 13.16 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 59.30 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 16.75 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 9.38 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 7.36 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 52.84 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 38.75 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 15.44 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.37 Bn |
| 10 | Euronet Worldwide | 2.43 Bn | -2.19 Bn | - | 5.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.16 Bn |
| Mar 31, 2026 | 5.02 Bn |
| Dec 31, 2025 | 5.07 Bn |
| Sep 30, 2025 | 4.90 Bn |
| Jun 30, 2025 | 5.10 Bn |
| Mar 31, 2025 | 4.67 Bn |
| Dec 31, 2024 | 4.52 Bn |
| Sep 30, 2024 | 4.84 Bn |
| Jun 30, 2024 | 4.76 Bn |
| Mar 31, 2024 | 4.36 Bn |
| Dec 31, 2023 | 4.56 Bn |
| Sep 30, 2023 | 3.96 Bn |
| Jun 30, 2023 | 3.77 Bn |
| Mar 31, 2023 | 3.68 Bn |
| Dec 31, 2022 | 4.09 Bn |
| Sep 30, 2022 | 3.73 Bn |
| Jun 30, 2022 | 4.11 Bn |
| Mar 31, 2022 | 3.68 Bn |
| Dec 31, 2021 | 3.43 Bn |
| Sep 30, 2021 | 2.99 Bn |
Euronet Worldwide 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=EEFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EEFT", "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=EEFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();