Xerox Holdings (XRX) Operating Expenses (2009 - 2026)
Xerox Holdings (XRX) recorded Operating Expenses of $1.89 billion in Q2 2026, up 15.6% from $1.64 billion a year earlier.
Xerox Holdings (XRX) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Xerox Holdings' Operating Expenses came in at $7.88 billion as of Jun 30, 2026, up 6.1% year-over-year; for FY2025, it came in at $7.51 billion, up 1.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $7.44 billion in FY2024 (+7.6%), $6.91 billion in FY2023 (-7.0%), $7.43 billion in FY2022 (-1.0%) and $7.51 billion in FY2021 (+10.9%).
- Quarterly Operating Expenses has ranged from $1.55 billion in Q2 2024 to $2.62 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last six quarters, with growth averaging 14.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 64.7% in Q3 2024, against a decline of 27.9% in Q4 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Xerox Holdings | 340.98 Mn | -1.73 Bn | 688.00 Mn | 1.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Bn |
| Dec 31, 2025 | 2.09 Bn |
| Sep 30, 2025 | 2.26 Bn |
| Jun 30, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.62 Bn |
| Sep 30, 2024 | 2.62 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 1.65 Bn |
| Dec 31, 2023 | 1.85 Bn |
| Sep 30, 2023 | 1.59 Bn |
| Jun 30, 2023 | 1.84 Bn |
| Mar 31, 2023 | 1.63 Bn |
| Dec 31, 2022 | 1.79 Bn |
| Sep 30, 2022 | 2.13 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.76 Bn |
| Dec 31, 2021 | 2.49 Bn |
| Sep 30, 2021 | 1.67 Bn |
| Jun 30, 2021 | 1.69 Bn |
| Mar 31, 2021 | 1.66 Bn |
Xerox Holdings 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=XRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();