dLocal (DLO) Total Liabilities (2020 - 2026)
dLocal's Total Liabilities came in at $1.65 billion for Q2 2026, up 137.1% from $696.45 million a year earlier and up 29.8% from the prior quarter.
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Analysis
dLocal (DLO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, dLocal's Total Liabilities was $971.54 million, up 42.4% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 44.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $682.34 million in FY2024 (+8.4%), $629.31 million in FY2023 (+47.5%), $426.68 million in FY2022 (+41.0%) and $302.71 million in FY2021 (+94.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 39.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 137.1%), and the weakest in Q2 2025 (a decline of 7.5%).
- Business Quant data shows DLO's Total Liabilities at $1.27 billion (Q1 2026), $971.54 million (Q4 2025) and $904.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 13.38 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 62.92 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 17.11 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 11.60 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 24.64 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 53.96 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 39.81 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 30.13 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.38 Bn |
| 10 | dLocal | 4.08 Bn | 769.99 Mn | 127.15 Mn | 1.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 971.54 Mn |
| Sep 30, 2025 | 904.09 Mn |
| Jun 30, 2025 | 696.45 Mn |
| Mar 31, 2025 | 696.45 Mn |
| Dec 31, 2024 | 682.34 Mn |
| Sep 30, 2024 | 714.15 Mn |
| Jun 30, 2024 | 753.28 Mn |
| Mar 31, 2024 | 679.26 Mn |
| Dec 31, 2023 | 629.31 Mn |
| Sep 30, 2023 | 576.70 Mn |
| Jun 30, 2023 | 619.79 Mn |
| Mar 31, 2023 | 468.29 Mn |
| Dec 31, 2022 | 426.68 Mn |
| Sep 30, 2022 | 456.84 Mn |
| Jun 30, 2022 | 367.50 Mn |
| Mar 31, 2022 | 374.41 Mn |
| Dec 31, 2021 | 302.71 Mn |
| Sep 30, 2021 | 260.98 Mn |
API Access
dLocal Total 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-liabilities&ticker=DLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();