Ryder System (R) Exchange Rate Effect (2009 - 2026)
Ryder System's Exchange Rate Effect was -$1 million in Q1 2026.
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Analysis
Ryder System (R) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2025, Exchange Rate Effect at Ryder System came in at $13 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$21 million in FY2024, -$9 million in FY2023, -$4 million in FY2022 and -$1 million in FY2021.
- The Q1 2026 figure marks the lowest quarterly Exchange Rate Effect since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (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 | - | -13.00 Mn |
| 4 | Canadian Pacific Kansas City | 75.98 Bn | 75.00 Bn | - | 17.35 Mn |
| 5 | Norfolk Southern | 72.12 Bn | 66.76 Bn | - | - |
| 6 | Fedex | 68.77 Bn | 34.71 Bn | - | -39.00 Mn |
| 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 | - |
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();