Xerox Holdings (XRXDW) Other Operating Expenses (2009 - 2026)
Xerox Holdings (XRXDW) posted Other Operating Expenses of $1.37 billion for Q2 2026, up 12.7% from $1.22 billion a year earlier.
Xerox Holdings (XRXDW) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Xerox Holdings was $5.82 billion, up 3.2% year-over-year; for FY2025, it was $5.56 billion, down 0.7% from FY2024.
- In prior years, Xerox Holdings' Other Operating Expenses was $5.6 billion in FY2024 (+16.1%), $4.82 billion in FY2023 (-9.1%), $5.3 billion in FY2022 and $24 million in FY2021.
- Quarterly Other Operating Expenses has run from a low of $1.1 billion in Q2 2024 to a high of $2.14 billion in Q3 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last six quarters, with growth averaging 20.7%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2024, with growth of 93.2%; the weakest was Q4 2022, with a decline of 36.1%.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.59 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 2.14 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.33 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 30, 2022 | 1.62 Bn |
| Jun 30, 2022 | 1.21 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.99 Bn |
| Sep 30, 2021 | 1.17 Bn |
| Jun 30, 2021 | 1.17 Bn |
| Mar 31, 2021 | 1.12 Bn |
Xerox Holdings Other 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=other-operating-expenses&ticker=XRXDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=XRXDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();