Xp (XP) Change in Accured Expenses (2019 - 2024)
Xp's Change in Accured Expenses came in at $21.5 million for Q4 2024, down 43.8% from $38.26 million a year earlier and down 23.9% from the prior quarter.
Analysis
Xp (XP) Change in Accured Expenses (2019 - 2024) Analysis & Trends
For FY2024, Xp's Change in Accured Expenses was $113.72 million, down 11.7% from FY2023.
- Change in Accured Expenses carries a five-year compound annual growth rate of 40.0% (FY2019 to FY2024).
- Going back by year, Change in Accured Expenses was $128.8 million in FY2023 (+57.9%), $81.59 million in FY2022 (+150.4%), $32.58 million in FY2021 (+209.0%) and $10.54 million in FY2020 (-50.1%).
- The Q4 2024 figure represents the lowest quarterly Change in Accured Expenses since Q2 2022.
- Year-over-year, Change in Accured Expenses has declined for three consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2021 (growth of 758.3%), and the weakest in Q4 2020 (a decline of 68.5%).
- Business Quant data shows XP's Change in Accured Expenses at $28.25 million (Q3 2024), $27.94 million (Q2 2024) and $36.91 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 21.50 Mn |
| Sep 30, 2024 | 28.25 Mn |
| Jun 30, 2024 | 27.94 Mn |
| Mar 31, 2024 | 36.91 Mn |
| Dec 31, 2023 | 38.26 Mn |
| Sep 30, 2023 | 29.48 Mn |
| Jun 30, 2023 | 30.32 Mn |
| Mar 31, 2023 | 29.69 Mn |
| Dec 31, 2022 | 28.39 Mn |
| Sep 30, 2022 | 24.58 Mn |
| Jun 30, 2022 | 17.63 Mn |
| Mar 31, 2022 | 12.38 Mn |
| Dec 31, 2021 | 14.94 Mn |
| Sep 30, 2021 | 13.95 Mn |
| Jun 30, 2021 | 2.57 Mn |
| Mar 31, 2021 | 2.20 Mn |
| Dec 31, 2020 | 1.74 Mn |
| Sep 30, 2020 | 3.64 Mn |
| Jun 30, 2020 | 1.48 Mn |
| Mar 31, 2020 | 4.55 Mn |
API Access
Xp Change in Accured Expenses 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=change-in-accured-expenses&ticker=XP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();