GXO Logistics (GXO) Goodwill & Intangibles (2020 - 2026)
GXO Logistics (GXO) posted Goodwill & Intangibles of $4.6 billion for Q2 2026, down 0.63% on a QoQ basis from $4.6 billion in Q1 2026, and down 5.56% year-over-year from $4.8 billion in Q2 2025.
GXO Logistics (GXO) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
GXO Logistics has reported Goodwill & Intangibles for 7 years, with the latest figure at $4.6 billion in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles fell 5.56% year-over-year to $4.6 billion in Q2 2026; TTM through Jun 2026 was $4.6 billion, a 5.56% decrease from a year earlier, with the FY2025 full-year figure at $4.7 billion, up 3.42% from the prior year.
- Goodwill & Intangibles was $4.6 billion for Q2 2026 at GXO Logistics, down from $4.6 billion in the prior quarter.
- The five-year high for Goodwill & Intangibles was $4.8 billion in Q2 2025, with the low at $2.2 billion in Q1 2022.
- Average Goodwill & Intangibles over 5 years is $3.9 billion, with a median of $4.0 billion recorded in 2023.
- The sharpest annual moves came in 2023 and 2026: Goodwill & Intangibles jumped 49.21% in 2023, then dropped 5.56% in 2026.
- Over 5 years, Goodwill & Intangibles stood at $3.3 billion in 2022, then advanced by 4.85% to $3.5 billion in 2023, then soared by 31.15% to $4.5 billion in 2024, then gained by 3.42% to $4.7 billion in 2025, then declined by 2.64% to $4.6 billion in 2026.
- The last three Goodwill & Intangibles figures came in at $4.6 billion (Q2 2026), $4.6 billion (Q1 2026), and $4.7 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.57 Bn |
| Mar 31, 2026 | 4.60 Bn |
| Dec 31, 2025 | 4.69 Bn |
| Sep 30, 2025 | 4.74 Bn |
| Jun 30, 2025 | 4.84 Bn |
| Mar 31, 2025 | 4.60 Bn |
| Dec 31, 2024 | 4.54 Bn |
| Sep 30, 2024 | 4.74 Bn |
| Jun 30, 2024 | 4.61 Bn |
| Mar 31, 2024 | 3.41 Bn |
| Dec 31, 2023 | 3.46 Bn |
| Sep 30, 2023 | 3.24 Bn |
| Jun 30, 2023 | 3.35 Bn |
| Mar 31, 2023 | 3.32 Bn |
| Dec 31, 2022 | 3.30 Bn |
| Sep 30, 2022 | 3.18 Bn |
| Jun 30, 2022 | 3.33 Bn |
| Mar 31, 2022 | 2.23 Bn |
| Dec 31, 2021 | 2.27 Bn |
| Sep 30, 2021 | 2.32 Bn |
GXO Logistics Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();