GXO Logistics (GXO) Exchange Rate Effect (2020 - 2026)
GXO Logistics (GXO) posted Exchange Rate Effect of -$3.0 million for Q1 2026, up 57.14% on a QoQ basis from -$7.0 million in Q4 2025, and down 127.27% year-over-year from $11.0 million in Q1 2025.
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GXO Logistics (GXO) Exchange Rate Effect (2020 - 2026) Analysis & Trends
GXO Logistics has reported Exchange Rate Effect for 7 years, with the latest figure at -$3.0 million in Q1 2026.
- On a quarterly basis, Exchange Rate Effect fell 127.27% year-over-year to -$3.0 million in Q1 2026; TTM through Jun 2026 was -$20.0 million, a 158.82% decrease from a year earlier, with the FY2025 full-year figure at $23.0 million, up 276.92% from the prior year.
- Exchange Rate Effect was -$3.0 million for Q1 2026 at GXO Logistics, up from -$7.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $29.0 million in Q2 2025, with the low at -$27.0 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is $117647.1, with a median of -$3.0 million recorded in 2026.
- The sharpest annual moves came in 2022 and 2025: Exchange Rate Effect slumped 350.0% in 2022, then soared 1550.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at $4.0 million in 2022, then jumped by 275.0% to $15.0 million in 2023, then tumbled by 280.0% to -$27.0 million in 2024, then surged by 74.07% to -$7.0 million in 2025, then soared by 57.14% to -$3.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$3.0 million (Q1 2026), -$7.0 million (Q4 2025), and -$10.0 million (Q3 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 | -3.00 Mn |
| Dec 31, 2025 | -7.00 Mn |
| Sep 30, 2025 | -10.00 Mn |
| Jun 30, 2025 | 29.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | -27.00 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | -2.00 Mn |
| Mar 31, 2024 | -5.00 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | -7.00 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | -7.00 Mn |
| Jun 30, 2022 | -10.00 Mn |
| Mar 31, 2022 | -5.00 Mn |
| Dec 31, 2021 | -3.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | -3.00 Mn |
API Access
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GXO", "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=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();