Xp (XP) Amortization - Intangibles (2018 - 2024)
Xp (XP) reported Amortization - Intangibles of $24.11 million for Q4 2024, down 10.8% from $27.03 million a year earlier.
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Analysis
Xp (XP) Amortization - Intangibles (2018 - 2024) Analysis & Trends
For FY2024, Xp posted Amortization - Intangibles of $26.15 million, down 3.3% from FY2023.
- Amortization - Intangibles has a five-year compound annual growth rate of 23.4% (FY2019 to FY2024).
- By year, Amortization - Intangibles came in at $27.03 million in FY2023 (+48.7%), $18.18 million in FY2022 (-37.8%), $29.24 million in FY2021 (+108.2%) and $14.05 million in FY2020 (+53.6%).
- The Q4 2024 figure ranks as the lowest quarterly Amortization - Intangibles since Q4 2022.
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, 2024 | 24.11 Mn |
| Dec 31, 2023 | 27.03 Mn |
| Dec 31, 2022 | 18.18 Mn |
| Mar 31, 2022 | 5.21 Mn |
| Dec 31, 2021 | 29.24 Mn |
| Mar 31, 2021 | 9.96 Mn |
| Dec 31, 2020 | 14.05 Mn |
| Jun 30, 2020 | 3.33 Mn |
| Dec 31, 2019 | 9.15 Mn |
| Jun 30, 2019 | 1.93 Mn |
| Dec 31, 2018 | 6.96 Mn |
API Access
Xp Amortization - 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=amortization-intangibles&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();