Xp (XP) Non-cash Items (2019 - 2025)
Xp's Non-cash Items came in at -$36.42 million for Q4 2025, compared with -$293.68 million a year earlier.
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Analysis
Xp (XP) Non-cash Items (2019 - 2025) Analysis & Trends
For FY2025, Xp's Non-cash Items was $651,045, down 89.8% from FY2024.
- Non-cash Items carries a three-year compound annual growth rate of -34.7% (FY2022 to FY2025).
- Going back by year, Non-cash Items was $6.4 million in FY2024 (+218.7%), $2.01 million in FY2023 (-14.2%) and $2.34 million in FY2022.
- The Q4 2025 figure represents the highest quarterly Non-cash Items since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -36.42 Mn |
| Dec 31, 2024 | -293.68 Mn |
| Mar 31, 2024 | 131.25 Mn |
| Dec 31, 2023 | -17.99 Mn |
| Sep 30, 2023 | 18.85 |
| Mar 31, 2023 | 19.07 Mn |
| Dec 31, 2022 | 93.90 |
| Sep 30, 2022 | 22.52 |
| Jun 30, 2022 | 27.14 |
| Mar 31, 2022 | -106.00 Mn |
| Dec 31, 2021 | 90.18 Mn |
| Sep 30, 2021 | 132.85 Mn |
| Jun 30, 2021 | 33,536.41 |
| Mar 31, 2021 | 42.69 Mn |
| Dec 31, 2020 | 42,416.49 |
| Sep 30, 2020 | 23,826.83 |
| Jun 30, 2020 | 4.49 Mn |
| Mar 31, 2020 | 18.14 Mn |
| Dec 31, 2019 | 25.52 Mn |
| Sep 30, 2019 | 13.39 |
API Access
Xp Non-cash Items 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=non-cash-items&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();