Xpo (XPO) Depreciation & Amortization (CF) (2010 - 2026)
Xpo (XPO) posted Depreciation & Amortization (CF) of $134 million for Q2 2026, up 2.3% from $131 million a year earlier and up 2.3% from the prior quarter.
Xpo (XPO) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Xpo was $532 million, up 5.3% year-over-year; for FY2025, it was $521 million, up 6.3% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for five consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Xpo's Depreciation & Amortization (CF) was $490 million in FY2024 (+13.4%), $432 million in FY2023 (+10.2%), $392 million in FY2022 (+1.8%) and $385 million in FY2021 (+1.9%).
- On a year-over-year basis, Depreciation & Amortization (CF) has increased in each of the last 15 quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q4 2022, with growth of 267.9%; the weakest was Q1 2022, with a decline of 21.0%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $131 million (Q1 2026), $133 million (Q4 2025) and $134 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 643.00 Mn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 413.00 Mn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 375.20 Mn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 980.00 Mn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 363.00 Mn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 1.13 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 91.71 Mn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | - |
| 10 | Xpo | 21.45 Bn | 20.27 Bn | - | 134.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.00 Mn |
| Mar 31, 2026 | 131.00 Mn |
| Dec 31, 2025 | 133.00 Mn |
| Sep 30, 2025 | 134.00 Mn |
| Jun 30, 2025 | 131.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | 125.00 Mn |
| Sep 30, 2024 | 126.00 Mn |
| Jun 30, 2024 | 122.00 Mn |
| Mar 31, 2024 | 117.00 Mn |
| Dec 31, 2023 | 114.00 Mn |
| Sep 30, 2023 | 110.00 Mn |
| Jun 30, 2023 | 107.00 Mn |
| Mar 31, 2023 | 101.00 Mn |
| Dec 31, 2022 | 103.00 Mn |
| Sep 30, 2022 | 99.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 94.00 Mn |
| Dec 31, 2021 | 28.00 Mn |
| Sep 30, 2021 | 118.00 Mn |
Xpo Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=XPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();