Xpo (XPO) Non Operating Interest Expenses (2010 - 2026)
Xpo (XPO) reported Non Operating Interest Expenses of $51 million for Q2 2026, down 8.9% from $56 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Xpo (XPO) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xpo's Non Operating Interest Expenses came in at $211 million, down 4.5% year-over-year; for FY2025, it came in at $219 million, down 1.8% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $223 million in FY2024 (+32.7%), $168 million in FY2023 (+24.4%), $135 million in FY2022 (-36.0%) and $211 million in FY2021 (-31.5%).
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q4 2023.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with growth averaging 5.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 38.7%); the low point was Q4 2021 (a decline of 57.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53 million (Q1 2026), $53 million (Q4 2025) and $54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 312.00 Mn |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | 207.00 Mn |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | - |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 193.00 Mn |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 76,000.00 |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | 359.00 Mn |
| 10 | Xpo | 22.11 Bn | 20.93 Bn | - | 51.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.00 Mn |
| Mar 31, 2026 | 53.00 Mn |
| Dec 31, 2025 | 53.00 Mn |
| Sep 30, 2025 | 54.00 Mn |
| Jun 30, 2025 | 56.00 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 53.00 Mn |
| Sep 30, 2024 | 56.00 Mn |
| Jun 30, 2024 | 56.00 Mn |
| Mar 31, 2024 | 58.00 Mn |
| Dec 31, 2023 | 42.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 43.00 Mn |
| Mar 31, 2023 | 42.00 Mn |
| Dec 31, 2022 | 32.00 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jun 30, 2022 | 31.00 Mn |
| Mar 31, 2022 | 37.00 Mn |
| Dec 31, 2021 | 35.00 Mn |
| Sep 30, 2021 | 53.00 Mn |
API Access
Xpo Non Operating Interest 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=non-operating-interest-expenses&ticker=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();