GXO Logistics (GXO) Prepaid Assets (2020 - 2026)
GXO Logistics (GXO) posted Prepaid Assets of $414.0 million for Q2 2026, up 4.28% on a QoQ basis from $397.0 million in Q1 2026, and down 4.61% year-over-year from $434.0 million in Q2 2025.
GXO Logistics (GXO) Prepaid Assets (2020 - 2026) Analysis & Trends
GXO Logistics has reported Prepaid Assets for 7 years, with the latest figure at $414.0 million in Q2 2026.
- On a quarterly basis, Prepaid Assets fell 4.61% year-over-year to $414.0 million in Q2 2026; TTM through Jun 2026 was $414.0 million, a 4.61% decrease from a year earlier, with the FY2025 full-year figure at $406.0 million, down 5.36% from the prior year.
- Prepaid Assets was $414.0 million for Q2 2026 at GXO Logistics, up from $397.0 million in the prior quarter.
- The five-year high for Prepaid Assets was $452.0 million in Q3 2025, with the low at $226.0 million in Q1 2022.
- Average Prepaid Assets over 5 years is $365.6 million, with a median of $386.0 million recorded in 2024.
- The sharpest annual moves came in 2024 and 2026: Prepaid Assets surged 48.58% in 2024, then slipped 10.99% in 2026.
- Over 5 years, Prepaid Assets stood at $286.0 million in 2022, then advanced by 21.33% to $347.0 million in 2023, then gained by 23.63% to $429.0 million in 2024, then slipped by 5.36% to $406.0 million in 2025, then increased by 1.97% to $414.0 million in 2026.
- The last three Prepaid Assets figures came in at $414.0 million (Q2 2026), $397.0 million (Q1 2026), and $406.0 million (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 | 414.00 Mn |
| Mar 31, 2026 | 397.00 Mn |
| Dec 31, 2025 | 406.00 Mn |
| Sep 30, 2025 | 452.00 Mn |
| Jun 30, 2025 | 434.00 Mn |
| Mar 31, 2025 | 446.00 Mn |
| Dec 31, 2024 | 429.00 Mn |
| Sep 30, 2024 | 443.00 Mn |
| Jun 30, 2024 | 419.00 Mn |
| Mar 31, 2024 | 375.00 Mn |
| Dec 31, 2023 | 347.00 Mn |
| Sep 30, 2023 | 332.00 Mn |
| Jun 30, 2023 | 282.00 Mn |
| Mar 31, 2023 | 280.00 Mn |
| Dec 31, 2022 | 286.00 Mn |
| Sep 30, 2022 | 301.00 Mn |
| Jun 30, 2022 | 312.00 Mn |
| Mar 31, 2022 | 226.00 Mn |
| Dec 31, 2021 | 259.00 Mn |
| Sep 30, 2021 | 292.00 Mn |
GXO Logistics Prepaid Assets 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=prepaid-assets&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();