GXO Logistics (GXO) Change in Cash (2020 - 2026)
GXO Logistics (GXO) posted Change in Cash of -$24.0 million for Q2 2026, up 60.0% on a QoQ basis from -$60.0 million in Q1 2026, and up 86.29% year-over-year from -$12.9 million in Q2 2025.
GXO Logistics (GXO) Change in Cash (2020 - 2026) Analysis & Trends
GXO Logistics has reported Change in Cash for 7 years, with the latest figure at -$24.0 million in Q2 2026.
- On a quarterly basis, Change in Cash rose 86.29% year-over-year to -$24.0 million in Q2 2026; TTM through Jun 2026 was $566.0 million, a 314.39% increase from a year earlier, with the FY2025 full-year figure at $372.0 million, up 2380.0% from the prior year.
- Change in Cash was -$24.0 million for Q2 2026 at GXO Logistics, up from -$60.0 million in the prior quarter.
- The five-year high for Change in Cash was $513.0 million in Q4 2025, with the low at -$175.0 million in Q2 2025.
- Average Change in Cash over 5 years is $24.4 million, with a median of -$12.5 million recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Change in Cash tumbled 2000.0% in 2024, then jumped 710.71% in 2025.
- Over 5 years, Change in Cash stood at $61.0 million in 2022, then sank by 106.56% to -$4.0 million in 2023, then sank by 2000.0% to -$84.0 million in 2024, then soared by 710.71% to $513.0 million in 2025, then plunged by 104.68% to -$24.0 million in 2026.
- The last three Change in Cash figures came in at -$24.0 million (Q2 2026), -$60.0 million (Q1 2026), and $513.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | -1.75 Bn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | -285.05 Mn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | -5.08 Mn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | -203.70 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 37.00 Mn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | -59.08 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | -24.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | -6.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | -17.10 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | -3.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.00 Mn |
| Mar 31, 2026 | -60.00 Mn |
| Dec 31, 2025 | 513.00 Mn |
| Sep 30, 2025 | 137.00 Mn |
| Jun 30, 2025 | -175.00 Mn |
| Mar 31, 2025 | -103.00 Mn |
| Dec 31, 2024 | -84.00 Mn |
| Sep 30, 2024 | 98.00 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | -45.00 Mn |
| Dec 31, 2023 | -4.00 Mn |
| Sep 30, 2023 | 169.00 Mn |
| Jun 30, 2023 | -121.00 Mn |
| Mar 31, 2023 | -69.00 Mn |
| Dec 31, 2022 | 61.00 Mn |
| Sep 30, 2022 | 50.00 Mn |
| Jun 30, 2022 | 72.00 Mn |
| Mar 31, 2022 | -21.00 Mn |
| Dec 31, 2021 | 58.00 Mn |
| Sep 30, 2021 | -51.00 Mn |
GXO Logistics Change in Cash 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=change-in-cash&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();