dLocal (DLO) Total Non-Current Liabilities (2020 - 2026)
dLocal (DLO) reported Total Non-Current Liabilities of $8.3 million for Q2 2026, up 25.5% from $6.62 million a year earlier and up 15.5% from the prior quarter.
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Analysis
dLocal (DLO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, dLocal posted Total Non-Current Liabilities of $5.63 million, up 19.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 82.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.72 million in FY2024 (+15.6%), $4.08 million in FY2023 (-7.4%), $4.41 million in FY2022 (+2.3%) and $4.31 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 14.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2023 (growth of 157.7%); the low point was Q3 2024 (a decline of 58.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.19 million (Q1 2026), $5.63 million (Q4 2025) and $6.62 million (Q3 2025).
Peer Set
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 | dLocal | 4.08 Bn | 769.99 Mn | 127.15 Mn | 8.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 7.19 Mn |
| Dec 31, 2025 | 5.63 Mn |
| Sep 30, 2025 | 6.62 Mn |
| Jun 30, 2025 | 6.62 Mn |
| Mar 31, 2025 | 4.69 Mn |
| Dec 31, 2024 | 4.72 Mn |
| Sep 30, 2024 | 4.26 Mn |
| Jun 30, 2024 | 5.41 Mn |
| Mar 31, 2024 | 5.62 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 30, 2023 | 10.18 Mn |
| Jun 30, 2023 | 6.49 Mn |
| Mar 31, 2023 | 5.17 Mn |
| Dec 31, 2022 | 4.41 Mn |
| Sep 30, 2022 | 3.95 Mn |
| Jun 30, 2022 | 3.82 Mn |
| Mar 31, 2022 | 3.94 Mn |
| Dec 31, 2021 | 4.31 Mn |
| Sep 30, 2021 | 4.42 Mn |
API Access
dLocal 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=DLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DLO", "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=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();