Ryder System (R) Operating Expenses (2009 - 2026)
Ryder System (R) posted Operating Expenses of $3.2 billion for Q2 2026, up 5.12% on a QoQ basis from $3.0 billion in Q1 2026, and up 5.22% year-over-year from $3.0 billion in Q2 2025.
Ryder System (R) Operating Expenses (2009 - 2026) Analysis & Trends
Ryder System has reported Operating Expenses for 18 years, with the latest figure at $3.2 billion in Q2 2026.
- On a quarterly basis, Operating Expenses rose 5.22% year-over-year to $3.2 billion in Q2 2026; TTM through Jun 2026 was $12.1 billion, a 1.33% increase from a year earlier, with the FY2025 full-year figure at $12.0 billion, changed 0.04% from the prior year.
- Operating Expenses was $3.2 billion for Q2 2026 at Ryder System, up from $3.0 billion in the prior quarter.
- The five-year high for Operating Expenses was $3.2 billion in Q2 2026, with the low at $2.6 billion in Q1 2022.
- Average Operating Expenses over 5 years is $2.9 billion, with a median of $3.0 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Operating Expenses gained 23.75% in 2022, then fell 0.33% in 2025.
- Over 5 years, Operating Expenses stood at $2.8 billion in 2022, then gained by 2.4% to $2.9 billion in 2023, then gained by 5.06% to $3.0 billion in 2024, then dropped by 0.33% to $3.0 billion in 2025, then rose by 5.47% to $3.2 billion in 2026.
- The last three Operating Expenses figures came in at $3.2 billion (Q2 2026), $3.0 billion (Q1 2026), and $3.0 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 772.78 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 3.15 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 4.68 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 1.09 Bn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 3.16 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 1.37 Bn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 389.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 218.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 895.05 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 32.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.16 Bn |
| Mar 31, 2026 | 3.01 Bn |
| Dec 31, 2025 | 3.00 Bn |
| Sep 30, 2025 | 2.98 Bn |
| Jun 30, 2025 | 3.01 Bn |
| Mar 31, 2025 | 3.00 Bn |
| Dec 31, 2024 | 3.01 Bn |
| Sep 30, 2024 | 2.98 Bn |
| Jun 30, 2024 | 3.00 Bn |
| Mar 31, 2024 | 2.98 Bn |
| Dec 31, 2023 | 2.86 Bn |
| Sep 30, 2023 | 2.71 Bn |
| Jun 30, 2023 | 2.84 Bn |
| Mar 31, 2023 | 2.75 Bn |
| Dec 31, 2022 | 2.80 Bn |
| Sep 30, 2022 | 2.70 Bn |
| Jun 30, 2022 | 2.70 Bn |
| Mar 31, 2022 | 2.60 Bn |
| Dec 31, 2021 | 2.36 Bn |
| Sep 30, 2021 | 2.28 Bn |
Ryder System Operating Expenses 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=operating-expenses&ticker=R&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();