Xpo (XPO) Shares Outstanding (Diluted) (2010 - 2026)
Xpo (XPO) posted Shares Outstanding (Diluted) of 118 million for Q2 2026, down 0.8% from 119 million a year earlier and down 0.8% from the prior quarter.
Xpo (XPO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Xpo's Shares Outstanding (Diluted) came in at 119 million, down 0.8% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Xpo's Shares Outstanding (Diluted) was 120 million in FY2024 (+1.7%), 118 million in FY2023 (+1.7%), 116 million in FY2022 (+1.8%) and 114 million in FY2021 (+11.8%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 114 million in Q4 2021 to a high of 120 million in Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last three quarters, with an average decline of 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 13.7%; the weakest was Q2 2026, with a decline of 0.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 119 million (Q1 2026), 119 million (Q4 2025) and 120 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 594.50 Mn |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | 1.85 Bn |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 225.20 Mn |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 659.00 Mn |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 208.72 Mn |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | 327.40 Mn |
| 10 | Xpo | 22.11 Bn | 20.93 Bn | - | 118.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.00 Mn |
| Mar 31, 2026 | 119.00 Mn |
| Dec 31, 2025 | 119.00 Mn |
| Sep 30, 2025 | 120.00 Mn |
| Jun 30, 2025 | 119.00 Mn |
| Mar 31, 2025 | 120.00 Mn |
| Dec 31, 2024 | 120.00 Mn |
| Sep 30, 2024 | 120.00 Mn |
| Jun 30, 2024 | 120.00 Mn |
| Mar 31, 2024 | 120.00 Mn |
| Dec 31, 2023 | 118.00 Mn |
| Sep 30, 2023 | 119.00 Mn |
| Jun 30, 2023 | 118.00 Mn |
| Mar 31, 2023 | 116.00 Mn |
| Dec 31, 2022 | 116.00 Mn |
| Sep 30, 2022 | 116.00 Mn |
| Jun 30, 2022 | 116.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 114.00 Mn |
| Sep 30, 2021 | 116.00 Mn |
Xpo Shares Outstanding (Diluted) 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-diluted&ticker=XPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XPO", "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-diluted&ticker=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();