GXO Logistics (GXO) Shares Outstanding (2020 - 2026)
GXO Logistics' Shares Outstanding was 115.01 million in Q2 2026, up 0.2% from 114.81 million a year earlier and up 0.3% from the prior quarter.
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Analysis
GXO Logistics (GXO) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at GXO Logistics came in at 115.68 million, down 3.1% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 119.41 million in FY2024 (+0.4%), 118.91 million in FY2023 (+1.6%), 117.05 million in FY2022 (+2.1%) and 114.63 million in FY2021 (unchanged).
- Quarterly Shares Outstanding has moved between 114.47 million (Q3 2025) and 119.46 million (Q3 2024) over five years.
- Compared with a year earlier, Shares Outstanding was higher in three of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2023 (growth of 3.5%); the worst was Q3 2025 (a decline of 4.2%).
- Per Business Quant data, GXO's Shares Outstanding in the three quarters before Q2 2026 was 114.71 million (Q1 2026), 115.68 million (Q4 2025) and 114.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.43 Bn | 171.95 Bn | - | 593.40 Mn |
| 2 | Csx | 95.92 Bn | 91.14 Bn | - | 1.85 Bn |
| 3 | United Parcel Service | 85.95 Bn | 62.85 Bn | - | 851.00 Mn |
| 4 | Canadian Pacific Kansas City | 80.52 Bn | 79.54 Bn | - | 886.40 Mn |
| 5 | Norfolk Southern | 75.79 Bn | 70.43 Bn | - | 224.60 Mn |
| 6 | Fedex | 71.86 Bn | 37.80 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 51.80 Bn | 33.98 Bn | - | 655.00 Mn |
| 8 | Old Dominion Freight Line | 39.47 Bn | 38.73 Bn | - | 207.66 Mn |
| 9 | United Airlines Holdings | 33.07 Bn | -24.62 Bn | - | 324.90 Mn |
| 10 | GXO Logistics | 5.60 Bn | 2.84 Bn | 508.00 Mn | 115.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.01 Mn |
| Mar 31, 2026 | 114.71 Mn |
| Dec 31, 2025 | 115.68 Mn |
| Sep 30, 2025 | 114.47 Mn |
| Jun 30, 2025 | 114.81 Mn |
| Mar 31, 2025 | 118.99 Mn |
| Dec 31, 2024 | 119.41 Mn |
| Sep 30, 2024 | 119.46 Mn |
| Jun 30, 2024 | 119.43 Mn |
| Mar 31, 2024 | 119.27 Mn |
| Dec 31, 2023 | 118.91 Mn |
| Sep 30, 2023 | 118.94 Mn |
| Jun 30, 2023 | 118.93 Mn |
| Mar 31, 2023 | 118.78 Mn |
| Dec 31, 2022 | 117.05 Mn |
| Sep 30, 2022 | 118.62 Mn |
| Jun 30, 2022 | 116.13 Mn |
| Mar 31, 2022 | 114.73 Mn |
| Dec 31, 2021 | 114.63 Mn |
| Sep 30, 2021 | 115.00 Mn |
API Access
GXO Logistics Shares Outstanding 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&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();