Xp (XP) Amortizatization of Intangibles (2019 - 2026)
Xp's Amortizatization of Intangibles was $8.54 million in Q2 2026, up 19.0% from $7.18 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Xp (XP) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xp's Amortizatization of Intangibles was $32.43 million through Jun 30, 2026, up 28.9% year-over-year; for FY2025, it came in at $29.23 million, up 11.8% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $26.15 million in FY2024 (-3.3%), $27.03 million in FY2023 (+48.7%), $18.18 million in FY2022 (-37.8%) and $29.24 million in FY2021 (+108.2%).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles since Q4 2023.
- Compared with a year earlier, Amortizatization of Intangibles has increased for five straight quarters, with growth averaging 7.1% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q3 2023 (growth of 151.8%); the worst was Q4 2024 (a decline of 53.2%).
- Per Business Quant data, XP's Amortizatization of Intangibles in the three quarters before Q2 2026 was $8.25 million (Q1 2026), $8.12 million (Q4 2025) and $7.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | 56.00 Mn |
| 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 | - | 55.00 Mn |
| 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 | 8.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.54 Mn |
| Mar 31, 2026 | 8.25 Mn |
| Dec 31, 2025 | 8.12 Mn |
| Sep 30, 2025 | 7.52 Mn |
| Jun 30, 2025 | 7.18 Mn |
| Mar 31, 2025 | 6.45 Mn |
| Dec 31, 2024 | 4.17 Mn |
| Sep 30, 2024 | 7.37 Mn |
| Jun 30, 2024 | 6.90 Mn |
| Mar 31, 2024 | 7.92 Mn |
| Dec 31, 2023 | 8.90 Mn |
| Sep 30, 2023 | 9.14 Mn |
| Jun 30, 2023 | 4.81 Mn |
| Mar 31, 2023 | 4.11 Mn |
| Dec 31, 2022 | 3.61 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 6.21 Mn |
| Mar 31, 2022 | 5.21 Mn |
| Dec 31, 2021 | 5.42 Mn |
| Sep 30, 2021 | 6.70 Mn |
API Access
Xp Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();