Ryder System (R) Exchange Rate Effect (2009 - 2026)
Ryder System (R) posted Exchange Rate Effect of -$1.0 million for Q1 2026, down 133.33% on a QoQ basis from $3.0 million in Q4 2025.
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Analysis
Ryder System (R) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Ryder System has reported Exchange Rate Effect for 18 years, with the latest figure at -$1.0 million in Q1 2026.
- On a quarterly basis, Exchange Rate Effect changed N/A year-over-year to -$1.0 million in Q1 2026; TTM through Jun 2026 was $2.0 million, a 150.0% increase from a year earlier, with the FY2025 full-year figure at $13.0 million, up 161.9% from the prior year.
- Exchange Rate Effect was -$1.0 million for Q1 2026 at Ryder System, down from $3.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $47.0 million in Q4 2022, with the low at -$36.0 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$1.5 million, with a median of -$4.0 million recorded in 2022.
- The largest YoY upside for Exchange Rate Effect was 1209.19% in 2022 against a maximum downside of 1520.89% in 2022.
- Over 5 years, Exchange Rate Effect stood at $47.0 million in 2022, then slumped by 97.87% to $1.0 million in 2023, then plunged by 1000.0% to -$9.0 million in 2024, then surged by 133.33% to $3.0 million in 2025, then sank by 133.33% to -$1.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$1.0 million (Q1 2026), $3.0 million (Q4 2025), and $10.0 million (Q2 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn | 3.12 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn | 1.27 Mn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn | 269,000.00 |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn | -3.90 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn | -838,000.00 |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn | - |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn | - |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn | 133,000.00 |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn | 384,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.00 Mn |
| Dec 31, 2025 | 3.00 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Dec 31, 2024 | -9.00 Mn |
| Sep 30, 2024 | -5.00 Mn |
| Jun 30, 2024 | -5.00 Mn |
| Mar 31, 2024 | -2.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | -4.00 Mn |
| Jun 30, 2023 | -17.00 Mn |
| Mar 31, 2023 | 11.00 Mn |
| Dec 31, 2022 | 47.00 Mn |
| Sep 30, 2022 | -36.00 Mn |
| Jun 30, 2022 | -11.00 Mn |
| Mar 31, 2022 | -4.00 Mn |
| Dec 31, 2021 | 3.59 Mn |
| Sep 30, 2021 | -2.22 Mn |
| Jun 30, 2021 | -1.17 Mn |
| Mar 31, 2021 | -1.20 Mn |
| Dec 31, 2020 | 2.13 Mn |
API Access
Ryder System Exchange Rate Effect 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=exchange-rate-effect&ticker=R&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();