Xerox Holdings (XRX) Depreciation and Depletion (2017 - 2026)
Xerox Holdings (XRX) posted Depreciation and Depletion of $21 million for Q2 2026, up 75.0% from $12 million a year earlier but down 4.5% from the prior quarter.
Xerox Holdings (XRX) Depreciation and Depletion (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Xerox Holdings was $91 million, up 59.6% year-over-year; for FY2025, it came in at $75 million, up 31.6% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Xerox Holdings' Depreciation and Depletion was $57 million in FY2024 (-5.0%), $60 million in FY2023 (-11.8%), $68 million in FY2022 (-10.5%) and $76 million in FY2021 (-12.6%).
- Quarterly Depreciation and Depletion has run from a low of $12 million in Q2 2025 to a high of $25 million in Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last four quarters, with growth averaging 31.3% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2025, with growth of 78.6%; the weakest was Q3 2023, with a decline of 17.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $22 million (Q1 2026), $23 million (Q4 2025) and $25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 202.85 Mn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | - |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 21.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | - |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 25.15 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Xerox Holdings | 366.17 Mn | -1.70 Bn | 688.00 Mn | 21.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 22.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 25.00 Mn |
| Jun 30, 2025 | 12.00 Mn |
| Mar 31, 2025 | 15.00 Mn |
| Dec 31, 2024 | 16.00 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 14.00 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 14.00 Mn |
| Jun 30, 2023 | 15.00 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 17.00 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 18.00 Mn |
| Dec 31, 2021 | 19.00 Mn |
| Sep 30, 2021 | 19.00 Mn |
Xerox Holdings 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=XRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "XRX", "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=XRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();