GXO Logistics (GXO) Selling, General & Administrative (2020 - 2026)
GXO Logistics (GXO) recorded Selling, General & Administrative of $295 million in Q2 2026, up 8.5% from $272 million a year earlier but down 0.3% from the prior quarter.
GXO Logistics (GXO) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, GXO Logistics' Selling, General & Administrative came in at $1.16 billion as of Jun 30, 2026, up 8.3% year-over-year; for FY2025, it was $1.11 billion, up 4.2% from FY2024.
- Annual Selling, General & Administrative has increased for six straight years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $1.06 billion in FY2024 (+6.3%), $998 million in FY2023 (+12.6%), $886 million in FY2022 (+24.1%) and $714 million in FY2021 (+16.9%).
- Quarterly Selling, General & Administrative has ranged from $171 million in Q3 2021 to $296 million in Q1 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for nine consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 35.8% in Q1 2023, against a decline of 4.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $296 million (Q1 2026), $288 million (Q4 2025) and $285 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | - |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | - |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | - |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | - |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | - |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | - |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | - |
| 10 | GXO Logistics | 5.55 Bn | 2.83 Bn | 508.00 Mn | 295.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 295.00 Mn |
| Mar 31, 2026 | 296.00 Mn |
| Dec 31, 2025 | 288.00 Mn |
| Sep 30, 2025 | 285.00 Mn |
| Jun 30, 2025 | 272.00 Mn |
| Mar 31, 2025 | 261.00 Mn |
| Dec 31, 2024 | 277.00 Mn |
| Sep 30, 2024 | 265.00 Mn |
| Jun 30, 2024 | 270.00 Mn |
| Mar 31, 2024 | 249.00 Mn |
| Dec 31, 2023 | 237.00 Mn |
| Sep 30, 2023 | 258.00 Mn |
| Jun 30, 2023 | 245.00 Mn |
| Mar 31, 2023 | 258.00 Mn |
| Dec 31, 2022 | 249.00 Mn |
| Sep 30, 2022 | 227.00 Mn |
| Jun 30, 2022 | 220.00 Mn |
| Mar 31, 2022 | 190.00 Mn |
| Dec 31, 2021 | 195.00 Mn |
| Sep 30, 2021 | 171.00 Mn |
GXO Logistics Selling, General & Administrative 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=selling-general-and-administrative&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();