Ryder System (R) Accumulated Expenses (2009 - 2026)
Ryder System (R) posted Accumulated Expenses of $1.2 billion for Q2 2026, up 1.47% on a QoQ basis from $1.2 billion in Q1 2026, and down 4.16% year-over-year from $1.3 billion in Q2 2025.
Ryder System (R) Accumulated Expenses (2009 - 2026) Analysis & Trends
Ryder System has reported Accumulated Expenses for 18 years, with the latest figure at $1.2 billion in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 4.16% year-over-year to $1.2 billion in Q2 2026; TTM through Jun 2026 was $1.2 billion, a 4.16% decrease from a year earlier, with the FY2025 full-year figure at $1.3 billion, down 4.01% from the prior year.
- Accumulated Expenses was $1.2 billion for Q2 2026 at Ryder System, up from $1.2 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $1.3 billion in Q3 2024, with the low at $1.1 billion in Q1 2023.
- Average Accumulated Expenses over 5 years is $1.2 billion, with a median of $1.2 billion recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Accumulated Expenses grew 20.16% in 2024, then fell 7.86% in 2025.
- Over 5 years, Accumulated Expenses stood at $1.2 billion in 2022, then gained by 2.75% to $1.2 billion in 2023, then grew by 7.3% to $1.3 billion in 2024, then declined by 4.01% to $1.3 billion in 2025, then declined by 2.13% to $1.2 billion in 2026.
- The last three Accumulated Expenses figures came in at $1.2 billion (Q2 2026), $1.2 billion (Q1 2026), and $1.3 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.31 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.21 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.12 Bn |
| Sep 30, 2021 | 1.07 Bn |
Ryder System Accumulated 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=accumulated-expenses&ticker=R&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();