Xp (XP) Depreciation and Depletion (2019 - 2026)
Xp's Depreciation and Depletion came in at $11.7 million for Q2 2026, up 84.4% from $6.35 million a year earlier and up 54.2% from the prior quarter.
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Analysis
Xp (XP) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xp reported Depreciation and Depletion of $31.97 million, up 31.9% year-over-year; for FY2025, it came in at $25.26 million, up 8.1% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion 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 represents the highest quarterly Depreciation and Depletion in data going back to Q1 2019.
- Year-over-year, Depreciation and Depletion has increased for six consecutive quarters, with growth averaging 15.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q1 2022 (growth of 132.3%), and the weakest in Q4 2024 (a decline of 21.8%).
- Business Quant data shows XP's Depreciation and Depletion at $7.59 million (Q1 2026), $6.3 million (Q4 2025) and $6.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 11.70 Mn |
Historic Data
Download Data
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 |
API Access
Xp Depreciation and Depletion 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-depletion&ticker=XP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=XP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();