Xp (XP) Depreciation & Amortization - Total (2018 - 2024)
Xp's Depreciation & Amortization - Total was $21.54 million in Q4 2024, down 10.1% from $23.96 million a year earlier.
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Analysis
Xp (XP) Depreciation & Amortization - Total (2018 - 2024) Analysis & Trends
For FY2024, Depreciation & Amortization - Total at Xp came in at $23.36 million, down 2.5% from FY2023.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 12.4% (FY2019 to FY2024).
- In earlier years, Depreciation & Amortization - Total was $23.96 million in FY2023 (+14.3%), $20.96 million in FY2022 (+70.4%), $12.3 million in FY2021 (-1.5%) and $12.49 million in FY2020 (-4.0%).
- The Q4 2024 figure marks the lowest quarterly Depreciation & Amortization - Total since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | - | 28.20 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 | - | - |
| 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 | 11.20 Mn |
| 10 | Xp | 11.18 Bn | -146.56 Bn | 105.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 21.54 Mn |
| Dec 31, 2023 | 23.96 Mn |
| Dec 31, 2022 | 20.96 Mn |
| Mar 31, 2022 | 6.45 Mn |
| Dec 31, 2021 | 12.30 Mn |
| Mar 31, 2021 | 2.77 Mn |
| Dec 31, 2020 | 12.49 Mn |
| Jun 30, 2020 | 3.77 Mn |
| Dec 31, 2019 | 13.01 Mn |
| Jun 30, 2019 | 4.14 Mn |
| Dec 31, 2018 | 6.90 Mn |
API Access
Xp Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();