Rxo (RXO) Selling, General & Administrative (2021 - 2026)
Rxo's Selling, General & Administrative was $211 million in Q2 2026, down 1.4% from $214 million a year earlier but up 7.1% from the prior quarter.
Rxo (RXO) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rxo's Selling, General & Administrative was $816 million through Jun 30, 2026, up 3.2% year-over-year; for FY2025, it came in at $832 million, up 24.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $666 million in FY2024 (+12.7%), $591 million in FY2023 (-7.7%), $640 million in FY2022 (+18.7%) and $539 million in FY2021 (+18.5%).
- Quarterly Selling, General & Administrative has moved between $130 million (Q3 2021) and $218 million (Q4 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for three straight quarters, with growth averaging 19.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2024 (growth of 49.3%); the worst was Q2 2023 (a decline of 13.3%).
- Per Business Quant data, RXO's Selling, General & Administrative in the three quarters before Q2 2026 was $197 million (Q1 2026), $200 million (Q4 2025) and $208 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | - |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | - |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | - |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | - |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | - |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | - |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | - |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | - |
| 10 | Rxo | 4.89 Bn | 4.81 Bn | 302.00 Mn | 211.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.00 Mn |
| Mar 31, 2026 | 197.00 Mn |
| Dec 31, 2025 | 200.00 Mn |
| Sep 30, 2025 | 208.00 Mn |
| Jun 30, 2025 | 214.00 Mn |
| Mar 31, 2025 | 210.00 Mn |
| Dec 31, 2024 | 218.00 Mn |
| Sep 30, 2024 | 149.00 Mn |
| Jun 30, 2024 | 154.00 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Sep 30, 2023 | 148.00 Mn |
| Jun 30, 2023 | 144.00 Mn |
| Mar 31, 2023 | 153.00 Mn |
| Dec 31, 2022 | 155.00 Mn |
| Sep 30, 2022 | 158.00 Mn |
| Jun 30, 2022 | 166.00 Mn |
| Mar 31, 2022 | 161.00 Mn |
| Dec 31, 2021 | 152.00 Mn |
| Sep 30, 2021 | 130.00 Mn |
Rxo 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=RXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RXO", "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=RXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();