Xp (XP) Other Operating Expenses (2018 - 2026)
Xp's Other Operating Expenses came in at $7.56 million for Q2 2026, down 44.8% from $13.69 million a year earlier but up 120.9% from the prior quarter.
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Analysis
Xp (XP) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xp reported Other Operating Expenses of $16.12 million, down 50.8% year-over-year; for FY2025, it came in at $3.3 billion, up 3.7% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 153.2% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $3.18 billion in FY2024 (+5.9%), $3 billion in FY2023, $48.84 million in FY2022 (-16.0%) and $58.15 million in FY2021 (+83.5%).
- The five-year range for quarterly Other Operating Expenses is -$3.69 million (Q3 2023) to $44.67 million (Q4 2022).
- Year-over-year, Other Operating Expenses increased in two of the last seven quarters, with an average decline of 18.8%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2024 (growth of 270.3%), and the weakest in Q1 2022 (a decline of 99.8%).
- Business Quant data shows XP's Other Operating Expenses at $3.42 million (Q1 2026), $556,453 (Q4 2025) and $4.59 million (Q3 2025) in the three quarters before Q2 2026.
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 |
|---|---|
| Jun 30, 2026 | 7.56 Mn |
| Mar 31, 2026 | 3.42 Mn |
| Dec 31, 2025 | 556,453.47 |
| Sep 30, 2025 | 4.59 Mn |
| Jun 30, 2025 | 13.69 Mn |
| Mar 31, 2025 | 3.86 Mn |
| Dec 31, 2024 | 516,214.70 |
| Sep 30, 2024 | 14.67 Mn |
| Jun 30, 2024 | 18.31 Mn |
| Mar 31, 2024 | 1.86 Mn |
| Dec 31, 2023 | 13.24 Mn |
| Sep 30, 2023 | -3.69 Mn |
| Jun 30, 2023 | 4.95 Mn |
| Mar 31, 2023 | 3.66 Mn |
| Dec 31, 2022 | 44.67 Mn |
| Sep 30, 2022 | 5.58 Mn |
| Jun 30, 2022 | -1.43 Mn |
| Mar 31, 2022 | 8,036.38 |
| Dec 31, 2021 | 41.77 Mn |
| Sep 30, 2021 | 208,182.66 |
API Access
Xp Other Operating 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=other-operating-expenses&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();