Xp (XP) Total Non-Current Liabilities (2018 - 2026)
Xp's Total Non-Current Liabilities was $61.59 billion in Q4 2025, up 38.6% from $44.43 billion a year earlier and up 4.9% from the prior quarter.
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Analysis
Xp (XP) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Xp came in at $59.49 billion, up 23.4% from FY2024.
- Total Non-Current Liabilities has now increased for seven consecutive years, with a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $48.19 billion in FY2024 (+39.2%), $34.61 billion in FY2023 (+42.4%), $24.3 billion in FY2022 (+48.3%) and $16.38 billion in FY2021 (+25.3%).
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 21 straight quarters, with growth averaging 23.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 3.9% in Q1 2025 to 142.7% in Q2 2021.
- Per Business Quant data, XP's Total Non-Current Liabilities in the three quarters before Q4 2025 was $58.7 billion (Q3 2025), $52.72 billion (Q2 2025) and $47.43 billion (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.30 Bn | 93.64 Bn | - | 164.75 Bn |
| 2 | Bank of New York Mellon | 101.77 Bn | 101.77 Bn | - | - |
| 3 | Intercontinental Exchange | 87.38 Bn | 81.12 Bn | - | 24.02 Bn |
| 4 | Robinhood Markets | 81.44 Bn | 81.44 Bn | - | - |
| 5 | Nasdaq | 58.94 Bn | 56.38 Bn | 1.48 Bn | 15.12 Bn |
| 6 | State Street | 47.88 Bn | 47.88 Bn | - | - |
| 7 | Interactive Brokers | 37.15 Bn | 37.15 Bn | - | - |
| 8 | Cboe Global Markets | 33.88 Bn | 25.54 Bn | 731.60 Mn | 4.92 Bn |
| 9 | Northern Trust | 31.55 Bn | 31.55 Bn | - | - |
| 10 | Xp | 8.35 Bn | -13.48 Bn | 105.39 Mn | 54.59 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.59 Bn |
| Mar 31, 2026 | 55.56 Bn |
| Dec 31, 2025 | 50.58 Bn |
| Sep 30, 2025 | 54.30 Bn |
| Jun 30, 2025 | 50.42 Bn |
| Mar 31, 2025 | 44.86 Bn |
| Dec 31, 2024 | 41.80 Bn |
| Sep 30, 2024 | 42.01 Bn |
| Jun 30, 2024 | 38.81 Bn |
| Mar 31, 2024 | 39.60 Bn |
| Dec 31, 2023 | 35.32 Bn |
| Sep 30, 2023 | 31.52 Bn |
| Jun 30, 2023 | 32.91 Bn |
| Mar 31, 2023 | 25.23 Bn |
| Dec 31, 2022 | 24.19 Bn |
| Sep 30, 2022 | 23.09 Bn |
| Jun 30, 2022 | 21.92 Bn |
| Mar 31, 2022 | 23.15 Bn |
| Dec 31, 2021 | 16.41 Bn |
| Sep 30, 2021 | 16.36 Bn |
API Access
Xp 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=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "XP", "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=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();