GXO Logistics (GXO) Shares Outstanding (Diluted) (2020 - 2026)
GXO Logistics' Shares Outstanding (Diluted) came in at 115.72 million for Q2 2026, up 0.6% from 115.06 million a year earlier but down 0.1% from the prior quarter.
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Analysis
GXO Logistics (GXO) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, GXO Logistics' Shares Outstanding (Diluted) was 116.3 million, down 2.9% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 119.8 million in FY2024 (+0.3%), 119.49 million in FY2023 (+1.6%), 117.62 million in FY2022 (+1.7%) and 115.6 million in FY2021 (+0.8%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 115.06 million (Q2 2025) to 119.8 million (Q4 2024).
- Year-over-year, Shares Outstanding (Diluted) increased in three of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2023 (growth of 3.2%), and the weakest in Q2 2025 (a decline of 3.9%).
- Business Quant data shows GXO's Shares Outstanding (Diluted) at 115.84 million (Q1 2026), 116.3 million (Q4 2025) and 115.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | GXO Logistics | 5.61 Bn | 2.89 Bn | 508.00 Mn | 115.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.72 Mn |
| Mar 31, 2026 | 115.84 Mn |
| Dec 31, 2025 | 116.30 Mn |
| Sep 30, 2025 | 115.33 Mn |
| Jun 30, 2025 | 115.06 Mn |
| Mar 31, 2025 | 118.99 Mn |
| Dec 31, 2024 | 119.80 Mn |
| Sep 30, 2024 | 119.79 Mn |
| Jun 30, 2024 | 119.68 Mn |
| Mar 31, 2024 | 119.27 Mn |
| Dec 31, 2023 | 119.49 Mn |
| Sep 30, 2023 | 119.65 Mn |
| Jun 30, 2023 | 119.42 Mn |
| Mar 31, 2023 | 119.23 Mn |
| Dec 31, 2022 | 117.62 Mn |
| Sep 30, 2022 | 119.07 Mn |
| Jun 30, 2022 | 116.65 Mn |
| Mar 31, 2022 | 115.57 Mn |
| Dec 31, 2021 | 115.60 Mn |
| Sep 30, 2021 | 116.00 Mn |
API Access
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();