Rackspace Technology (RXT) Operating Expenses (2019 - 2026)
Rackspace Technology's Operating Expenses came in at $148 million for Q2 2026, down 4.1% from $154.3 million a year earlier but up 8.1% from the prior quarter.
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Analysis
Rackspace Technology (RXT) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rackspace Technology reported Operating Expenses of $572.4 million, down 11.9% year-over-year; for FY2025, it was $607.1 million, down 14.2% from FY2024.
- Operating Expenses has declined in each of the last five years, with a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $707.6 million in FY2024 (-7.8%), $767.2 million in FY2023 (-10.3%), $855.3 million in FY2022 (-5.7%) and $906.8 million in FY2021 (-5.5%).
- The five-year range for quarterly Operating Expenses is $123.7 million (Q4 2025) to $234.6 million (Q3 2021).
- Year-over-year, Operating Expenses has declined for 13 consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 1.2%), and the weakest in Q4 2025 (a decline of 22.9%).
- Business Quant data shows RXT's Operating Expenses at $136.9 million (Q1 2026), $123.7 million (Q4 2025) and $163.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Rackspace Technology | 953.94 Mn | 544.44 Mn | 114.80 Mn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.00 Mn |
| Mar 31, 2026 | 136.90 Mn |
| Dec 31, 2025 | 123.70 Mn |
| Sep 30, 2025 | 163.80 Mn |
| Jun 30, 2025 | 154.30 Mn |
| Mar 31, 2025 | 165.30 Mn |
| Dec 31, 2024 | 160.50 Mn |
| Sep 30, 2024 | 169.50 Mn |
| Jun 30, 2024 | 185.20 Mn |
| Mar 31, 2024 | 192.40 Mn |
| Dec 31, 2023 | 165.50 Mn |
| Sep 30, 2023 | 177.30 Mn |
| Jun 30, 2023 | 216.90 Mn |
| Mar 31, 2023 | 207.50 Mn |
| Dec 31, 2022 | 210.30 Mn |
| Sep 30, 2022 | 219.90 Mn |
| Jun 30, 2022 | 220.00 Mn |
| Mar 31, 2022 | 205.10 Mn |
| Dec 31, 2021 | 208.60 Mn |
| Sep 30, 2021 | 234.60 Mn |
API Access
Rackspace Technology Operating Expenses 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=operating-expenses&ticker=RXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();