Xerox Holdings (XRXDW) Operating Expenses (2009 - 2026)
Xerox Holdings' Operating Expenses was $1.89 billion in Q2 2026, up 15.6% from $1.64 billion a year earlier.
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Analysis
Xerox Holdings (XRXDW) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xerox Holdings' Operating Expenses was $7.88 billion through Jun 30, 2026, up 6.1% year-over-year; for FY2025, it came in at $7.51 billion, up 1.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $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 moved between $1.55 billion (Q2 2024) and $2.62 billion (Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last six quarters, with growth averaging 14.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 64.7%); the worst was Q4 2022 (a decline of 27.9%).
Peer Set
Peer Comparison
Historic Data
Download Data
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 |
API Access
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=XRXDW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XRXDW", "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=XRXDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();