Xpo (XPO) Other Operating Expenses (2010 - 2026)
Xpo's Other Operating Expenses was $22 million in Q2 2026, up 4.8% from $21 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Xpo (XPO) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xpo's Other Operating Expenses was $100 million through Jun 30, 2026, up 25.0% year-over-year; for FY2025, it came in at $83 million, up 3.8% from FY2024.
- Other Operating Expenses has now increased for four consecutive years, though with a five-year compound annual growth rate of -56.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $80 million in FY2024 (+33.3%), $60 million in FY2023 (+3.4%), $58 million in FY2022 (+3.6%) and $56 million in FY2021 (-98.9%).
- Quarterly Other Operating Expenses has moved between $13 million (Q3 2021) and $676 million (Q4 2021) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for four straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2025 (growth of 66.7%); the worst was Q2 2022 (a decline of 99.0%).
- Per Business Quant data, XPO's Other Operating Expenses in the three quarters before Q2 2026 was $21 million (Q1 2026), $22 million (Q4 2025) and $35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - |
| 10 | Xpo | 21.66 Bn | 20.48 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Mn |
| Mar 31, 2026 | 21.00 Mn |
| Dec 31, 2025 | 22.00 Mn |
| Sep 30, 2025 | 56.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 19.00 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 21.00 Mn |
| Mar 31, 2024 | 19.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 15.00 Mn |
| Mar 31, 2023 | 15.00 Mn |
| Dec 31, 2022 | 14.00 Mn |
| Sep 30, 2022 | 15.00 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 676.00 Mn |
| Sep 30, 2021 | 13.00 Mn |
API Access
Xpo Other Operating 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=other-operating-expenses&ticker=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();