Xp (XP) Depreciation & Amortization (CF) (2019 - 2026)
Xp's Depreciation & Amortization (CF) was $11.7 million in Q2 2026, up 84.4% from $6.35 million a year earlier and up 54.2% from the prior quarter.
Xp (XP) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xp's Depreciation & Amortization (CF) was $31.97 million through Jun 30, 2026, up 31.9% year-over-year; for FY2025, it came in at $25.26 million, up 8.1% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $23.36 million in FY2024 (-2.5%), $23.96 million in FY2023 (+14.3%), $20.96 million in FY2022 (+70.4%) and $12.3 million in FY2021 (-1.5%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2019.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for six straight quarters, with growth averaging 15.2% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2022 (growth of 132.3%); the worst was Q4 2024 (a decline of 21.8%).
- Per Business Quant data, XP's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $7.59 million (Q1 2026), $6.3 million (Q4 2025) and $6.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.40 Bn | 96.74 Bn | - | 27.40 Mn |
| 2 | Bank of New York Mellon | 100.41 Bn | 100.41 Bn | - | - |
| 3 | Intercontinental Exchange | 95.02 Bn | 95.02 Bn | - | - |
| 4 | Robinhood Markets | 75.23 Bn | 54.76 Bn | - | 26.00 Mn |
| 5 | Nasdaq | 59.27 Bn | 56.71 Bn | 1.48 Bn | 165.00 Mn |
| 6 | State Street | 46.26 Bn | 46.26 Bn | - | 180.00 Mn |
| 7 | Cboe Global Markets | 34.77 Bn | 26.42 Bn | 731.60 Mn | 28.10 Mn |
| 8 | Interactive Brokers | 34.24 Bn | 34.24 Bn | - | - |
| 9 | Northern Trust | 30.71 Bn | 30.71 Bn | - | 199.50 Mn |
| 10 | Xp | 7.54 Bn | -14.29 Bn | 105.39 Mn | 11.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.70 Mn |
| Mar 31, 2026 | 7.59 Mn |
| Dec 31, 2025 | 6.30 Mn |
| Sep 30, 2025 | 6.38 Mn |
| Jun 30, 2025 | 6.35 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 6.07 Mn |
| Sep 30, 2024 | 5.61 Mn |
| Jun 30, 2024 | 5.74 Mn |
| Mar 31, 2024 | 5.85 Mn |
| Dec 31, 2023 | 7.76 Mn |
| Sep 30, 2023 | 5.46 Mn |
| Jun 30, 2023 | 5.46 Mn |
| Mar 31, 2023 | 5.11 Mn |
| Dec 31, 2022 | 5.06 Mn |
| Sep 30, 2022 | 4.70 Mn |
| Jun 30, 2022 | 5.16 Mn |
| Mar 31, 2022 | 6.45 Mn |
| Dec 31, 2021 | 3.97 Mn |
| Sep 30, 2021 | 3.15 Mn |
Xp Depreciation & Amortization (CF) 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-cf&ticker=XP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();