Xpo (XPO) Exchange Rate Effect (2012 - 2026)
Xpo (XPO) reported Exchange Rate Effect of $3 million for Q2 2026, up 200.0% from $1 million a year earlier.
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Analysis
Xpo (XPO) Exchange Rate Effect (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xpo's Exchange Rate Effect came in at -$2 million; for FY2025, it came in at -$1 million.
- By year, Exchange Rate Effect came in at $5 million in FY2023, -$18 million in FY2022 and -$2 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Exchange Rate Effect since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.77 Bn | 165.29 Bn | - | - |
| 2 | Csx | 89.05 Bn | 85.26 Bn | - | - |
| 3 | United Parcel Service | 83.97 Bn | 60.86 Bn | - | -13.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.60 Bn | 76.62 Bn | - | 17.35 Mn |
| 5 | Norfolk Southern | 73.07 Bn | 67.71 Bn | - | - |
| 6 | Fedex | 70.34 Bn | 36.29 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 49.90 Bn | 32.09 Bn | - | - |
| 8 | Old Dominion Freight Line | 38.97 Bn | 38.23 Bn | - | - |
| 9 | United Airlines Holdings | 31.75 Bn | -24.62 Bn | - | - |
| 10 | Xpo | 21.68 Bn | 20.50 Bn | - | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | -2.00 Mn |
| Sep 30, 2025 | -3.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | -5.00 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | -3.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | -11.00 Mn |
| Jun 30, 2022 | -11.00 Mn |
| Mar 31, 2022 | -3.00 Mn |
| Dec 31, 2021 | 5.00 Mn |
| Sep 30, 2021 | -8.00 Mn |
| Jun 30, 2021 | 3.00 Mn |
| Mar 31, 2021 | -2.00 Mn |
| Dec 31, 2020 | 16.00 Mn |
API Access
Xpo 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=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "XPO", "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=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();