Xp (XP) Total Non-Current Liabilities (2018 - 2025)
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.
Xp (XP) Total Non-Current Liabilities (2018 - 2025) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 468.26 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 4.94 Bn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 61.59 Bn |
| Sep 30, 2025 | 58.70 Bn |
| Jun 30, 2025 | 52.72 Bn |
| Mar 31, 2025 | 47.43 Bn |
| Dec 31, 2024 | 44.43 Bn |
| Sep 30, 2024 | 47.12 Bn |
| Jun 30, 2024 | 46.47 Bn |
| Mar 31, 2024 | 45.66 Bn |
| Dec 31, 2023 | 37.64 Bn |
| Sep 30, 2023 | 39.67 Bn |
| Jun 30, 2023 | 37.79 Bn |
| Mar 31, 2023 | 31.27 Bn |
| Dec 31, 2022 | 26.82 Bn |
| Sep 30, 2022 | 29.05 Bn |
| Jun 30, 2022 | 27.64 Bn |
| Mar 31, 2022 | 21.13 Bn |
| Dec 31, 2021 | 18.42 Bn |
| Sep 30, 2021 | 19.33 Bn |
| Jun 30, 2021 | 16.25 Bn |
| Mar 31, 2021 | 17.70 Bn |
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_KEY
import 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();