Xerox Holdings (XRX) Price to Earnings (2009 - 2023)
Xerox Holdings' Price to Earnings came in at 2257.23 for Q4 2023.
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Analysis
Xerox Holdings (XRX) Price to Earnings (2009 - 2023) Analysis & Trends
Going back to Q1 2009, Xerox Holdings' Price to Earnings data covers 49 quarters.
- Going back by year, Price to Earnings was 23.96 in FY2020 (+313.6%) and 5.79 in FY2019 (-53.9%).
- The Q4 2023 figure represents the highest quarterly Price to Earnings in data going back to Q1 2009.
- The fastest year-over-year change in Price to Earnings over five years came in Q1 2021 (growth of 504.1%), and the weakest in Q3 2019 (a decline of 97.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - |
| 10 | Xerox Holdings | 332.47 Mn | -1.74 Bn | 688.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2,257.23 |
| Sep 30, 2023 | 13.70 |
| Sep 30, 2021 | 12.12 |
| Jun 30, 2021 | 14.41 |
| Mar 31, 2021 | 19.99 |
| Dec 31, 2020 | 23.96 |
| Sep 30, 2020 | 4.14 |
| Jun 30, 2020 | 3.06 |
| Mar 31, 2020 | 3.31 |
| Dec 31, 2019 | 5.79 |
| Sep 30, 2019 | 9.75 |
| Jun 30, 2019 | 14.48 |
| Mar 31, 2019 | 15.37 |
| Dec 31, 2018 | 12.57 |
| Sep 30, 2018 | 398.81 |
| Jun 30, 2018 | 98.67 |
| Mar 31, 2018 | 82.35 |
| Dec 31, 2017 | 38.06 |
| Sep 30, 2016 | 84.69 |
| Jun 30, 2016 | 120.11 |
API Access
Xerox Holdings Price to Earnings 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=price-to-earnings&ticker=XRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=XRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();