Ryder System (R) Selling, General & Administrative (2011 - 2026)
Ryder System's Selling, General & Administrative came in at $390 million for Q2 2026, up 3.2% from $378 million a year earlier and up 2.6% from the prior quarter.
Ryder System (R) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ryder System reported Selling, General & Administrative of $1.5 billion, up 1.2% year-over-year; for FY2025, it came in at $1.47 billion, down 0.5% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $1.48 billion in FY2024 (+4.0%), $1.42 billion in FY2023 (+0.4%), $1.42 billion in FY2022 (+19.2%) and $1.19 billion in FY2021 (+13.7%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2020.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2022 (growth of 41.5%), and the weakest in Q4 2021 (a decline of 19.9%).
- Business Quant data shows R's Selling, General & Administrative at $380 million (Q1 2026), $347 million (Q4 2025) and $380 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 167.50 Bn | 162.03 Bn | - | - |
| 2 | Csx | 88.57 Bn | 84.77 Bn | - | - |
| 3 | United Parcel Service | 80.55 Bn | 57.44 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 75.98 Bn | 75.00 Bn | - | - |
| 5 | Norfolk Southern | 72.12 Bn | 66.76 Bn | - | - |
| 6 | Fedex | 68.77 Bn | 34.71 Bn | - | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | - |
| 8 | Old Dominion Freight Line | 38.02 Bn | 37.28 Bn | - | - |
| 9 | United Airlines Holdings | 33.53 Bn | -22.84 Bn | - | - |
| 10 | Ryder System | 9.22 Bn | 8.43 Bn | 660.00 Mn | 390.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 390.00 Mn |
| Mar 31, 2026 | 380.00 Mn |
| Dec 31, 2025 | 347.00 Mn |
| Sep 30, 2025 | 380.00 Mn |
| Jun 30, 2025 | 378.00 Mn |
| Mar 31, 2025 | 368.00 Mn |
| Dec 31, 2024 | 365.00 Mn |
| Sep 30, 2024 | 368.00 Mn |
| Jun 30, 2024 | 368.00 Mn |
| Mar 31, 2024 | 378.00 Mn |
| Dec 31, 2023 | 368.00 Mn |
| Sep 30, 2023 | 347.00 Mn |
| Jun 30, 2023 | 343.00 Mn |
| Mar 31, 2023 | 363.00 Mn |
| Dec 31, 2022 | 362.00 Mn |
| Sep 30, 2022 | 350.00 Mn |
| Jun 30, 2022 | 361.00 Mn |
| Mar 31, 2022 | 342.00 Mn |
| Dec 31, 2021 | 320.64 Mn |
| Sep 30, 2021 | 287.97 Mn |
Ryder System 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=R&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "R", "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=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();