Xerox Holdings (XRX) Shares Outstanding (Entity) (2009 - 2026)
Xerox Holdings' Shares Outstanding (Entity) was 131.24 million in Q2 2026, up 4.3% from 125.79 million a year earlier and up 0.4% from the prior quarter.
Xerox Holdings (XRX) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Xerox Holdings came in at 128.04 million, up 2.9% from FY2024.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 124.44 million in FY2024 (+1.0%), 123.14 million in FY2023 (-21.0%), 155.78 million in FY2022 (-2.3%) and 159.39 million in FY2021 (-19.7%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) since Q3 2023.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for seven straight quarters, with an average decline of 0.4% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q1 2026 (growth of 4.5%); the worst was Q4 2023 (a decline of 21.0%).
- Per Business Quant data, XRX's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 130.78 million (Q1 2026), 128.04 million (Q4 2025) and 128.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 667.51 Mn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 399.52 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 297.66 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 432.16 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 481.12 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 202.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 263.56 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 63.15 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Xerox Holdings | 340.98 Mn | -1.73 Bn | 688.00 Mn | 131.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.24 Mn |
| Mar 31, 2026 | 130.78 Mn |
| Dec 31, 2025 | 128.04 Mn |
| Sep 30, 2025 | 128.02 Mn |
| Jun 30, 2025 | 125.79 Mn |
| Mar 31, 2025 | 125.19 Mn |
| Dec 31, 2024 | 124.44 Mn |
| Sep 30, 2024 | 124.36 Mn |
| Jun 30, 2024 | 124.32 Mn |
| Mar 31, 2024 | 124.19 Mn |
| Dec 31, 2023 | 123.14 Mn |
| Sep 30, 2023 | 157.13 Mn |
| Jun 30, 2023 | 157.11 Mn |
| Mar 31, 2023 | 156.96 Mn |
| Dec 31, 2022 | 155.78 Mn |
| Sep 30, 2022 | 155.57 Mn |
| Jun 30, 2022 | 154.97 Mn |
| Mar 31, 2022 | 154.85 Mn |
| Dec 31, 2021 | 159.39 Mn |
| Sep 30, 2021 | 178.49 Mn |
Xerox Holdings Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=XRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=XRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();