GXO Logistics (GXO) Shares Outstanding (Entity) (2020 - 2026)
GXO Logistics (GXO) posted Shares Outstanding (Entity) of 114.77 million for Q2 2026, up 0.3% from 114.45 million a year earlier but down 0.2% from the prior quarter.
GXO Logistics (GXO) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, GXO Logistics' Shares Outstanding (Entity) came in at 114.51 million, down 4.2% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In prior years, GXO Logistics' Shares Outstanding (Entity) was 119.5 million in FY2024 (+0.4%), 119.06 million in FY2023 (+0.3%), 118.73 million in FY2022 (+3.5%) and 114.66 million in FY2021 (-0.3%).
- Quarterly Shares Outstanding (Entity) has run from a low of 114.45 million in Q2 2025 to a high of 119.5 million in Q4 2024 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) increased in three of the last eight quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2022, with growth of 3.5%; the weakest was Q2 2025, with a decline of 4.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 115.02 million (Q1 2026), 114.51 million (Q4 2025) and 114.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.52 Bn | 168.04 Bn | - | 593.96 Mn |
| 2 | Csx | 95.42 Bn | 91.63 Bn | - | 1.85 Bn |
| 3 | United Parcel Service | 85.89 Bn | 62.79 Bn | - | 749.35 Mn |
| 4 | Canadian Pacific Kansas City | 79.71 Bn | 78.72 Bn | - | 879.08 Mn |
| 5 | Norfolk Southern | 74.45 Bn | 69.09 Bn | - | 224.61 Mn |
| 6 | Fedex | 71.62 Bn | 37.56 Bn | - | 236.58 Mn |
| 7 | Delta Air Lines | 51.94 Bn | 34.12 Bn | - | 657.91 Mn |
| 8 | Old Dominion Freight Line | 39.70 Bn | 38.96 Bn | - | 207.47 Mn |
| 9 | United Airlines Holdings | 33.58 Bn | -22.79 Bn | - | 324.58 Mn |
| 10 | GXO Logistics | 5.66 Bn | 2.90 Bn | 508.00 Mn | 114.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.77 Mn |
| Mar 31, 2026 | 115.02 Mn |
| Dec 31, 2025 | 114.51 Mn |
| Sep 30, 2025 | 114.49 Mn |
| Jun 30, 2025 | 114.45 Mn |
| Mar 31, 2025 | 116.96 Mn |
| Dec 31, 2024 | 119.50 Mn |
| Sep 30, 2024 | 119.47 Mn |
| Jun 30, 2024 | 119.44 Mn |
| Mar 31, 2024 | 119.37 Mn |
| Dec 31, 2023 | 119.06 Mn |
| Sep 30, 2023 | 118.95 Mn |
| Jun 30, 2023 | 118.93 Mn |
| Mar 31, 2023 | 118.89 Mn |
| Dec 31, 2022 | 118.73 Mn |
| Sep 30, 2022 | 118.63 Mn |
| Jun 30, 2022 | 118.61 Mn |
| Mar 31, 2022 | 114.84 Mn |
| Dec 31, 2021 | 114.66 Mn |
| Sep 30, 2021 | 115.00 Mn |
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "GXO", "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=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();