GXO Logistics (GXO) Depreciation & Amortization - Total (2024 - 2026)
GXO Logistics (GXO) posted Depreciation & Amortization - Total of $89.0 million for Q2 2026, up 3.49% on a QoQ basis from $86.0 million in Q1 2026, and up 11.25% year-over-year from $80.0 million in Q2 2025.
GXO Logistics (GXO) Depreciation & Amortization - Total (2024 - 2026) Analysis & Trends
GXO Logistics has reported Depreciation & Amortization - Total for 3 years, with the latest figure at $89.0 million in Q2 2026.
- On a quarterly basis, Depreciation & Amortization - Total rose 11.25% year-over-year to $89.0 million in Q2 2026; TTM through Jun 2026 was $353.0 million, a 11.36% increase from a year earlier, with the FY2025 full-year figure at $338.0 million, up 10.1% from the prior year.
- Depreciation & Amortization - Total was $89.0 million for Q2 2026 at GXO Logistics, up from $86.0 million in the prior quarter.
- The five-year high for Depreciation & Amortization - Total was $91.0 million in Q4 2025, with the low at $73.0 million in Q1 2024.
- Average Depreciation & Amortization - Total over 3 years is $82.0 million, with a median of $81.0 million recorded in 2024.
- The largest YoY upside for Depreciation & Amortization - Total was 16.0% in 2025 against a maximum downside of 3.9% in 2025.
- Over 3 years, Depreciation & Amortization - Total stood at $82.0 million in 2024, then gained by 10.98% to $91.0 million in 2025, then decreased by 2.2% to $89.0 million in 2026.
- The last three Depreciation & Amortization - Total figures came in at $89.0 million (Q2 2026), $86.0 million (Q1 2026), and $91.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | - |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | - |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | - |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 89.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | - |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 2.10 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.00 Mn |
| Mar 31, 2026 | 86.00 Mn |
| Dec 31, 2025 | 91.00 Mn |
| Sep 30, 2025 | 87.00 Mn |
| Jun 30, 2025 | 80.00 Mn |
| Mar 31, 2025 | 80.00 Mn |
| Dec 31, 2024 | 82.00 Mn |
| Sep 30, 2024 | 75.00 Mn |
| Jun 30, 2024 | 77.00 Mn |
| Mar 31, 2024 | 73.00 Mn |
GXO Logistics Depreciation & Amortization - Total 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-total&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();