Rackspace Technology (RXT) Depreciation and Depletion (2021 - 2026)
Rackspace Technology's Depreciation and Depletion came in at $38.5 million for Q2 2026, up 2.9% from $37.4 million a year earlier but down 5.2% from the prior quarter.
Rackspace Technology (RXT) Depreciation and Depletion (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rackspace Technology reported Depreciation and Depletion of $156.6 million, up 9.1% year-over-year; for FY2025, it came in at $151.4 million, up 7.1% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $141.3 million in FY2024 (-32.3%), $208.7 million in FY2023 (-5.5%), $220.9 million in FY2022 (-9.9%) and $245.1 million in FY2021 (-15.4%).
- The five-year range for quarterly Depreciation and Depletion is -$5.3 million (Q3 2021) to $264.5 million (Q4 2021).
- Year-over-year, Depreciation and Depletion has increased for six consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2025 (growth of 13.0%), and the weakest in Q4 2022 (a decline of 80.8%).
- Business Quant data shows RXT's Depreciation and Depletion at $40.6 million (Q1 2026), $39.9 million (Q4 2025) and $37.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | - |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 27.62 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | - |
| 10 | Rackspace Technology | 971.56 Mn | 562.06 Mn | 114.80 Mn | 38.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.50 Mn |
| Mar 31, 2026 | 40.60 Mn |
| Dec 31, 2025 | 39.90 Mn |
| Sep 30, 2025 | 37.60 Mn |
| Jun 30, 2025 | 37.40 Mn |
| Mar 31, 2025 | 36.50 Mn |
| Dec 31, 2024 | 35.30 Mn |
| Sep 30, 2024 | 34.30 Mn |
| Jun 30, 2024 | 35.50 Mn |
| Mar 31, 2024 | 36.20 Mn |
| Dec 31, 2023 | 47.80 Mn |
| Sep 30, 2023 | 50.40 Mn |
| Jun 30, 2023 | 56.70 Mn |
| Mar 31, 2023 | 53.80 Mn |
| Dec 31, 2022 | 50.90 Mn |
| Sep 30, 2022 | 54.60 Mn |
| Jun 30, 2022 | 56.10 Mn |
| Mar 31, 2022 | 59.30 Mn |
| Dec 31, 2021 | 264.50 Mn |
| Sep 30, 2021 | -5.30 Mn |
Rackspace Technology 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=RXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "RXT", "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=RXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();