GXO Logistics (GXO) Other Accumulated Expenses (2020 - 2026)
GXO Logistics (GXO) posted Other Accumulated Expenses of $439.0 million for Q2 2026, up 6.3% on a QoQ basis from $413.0 million in Q1 2026, and down 14.92% year-over-year from $516.0 million in Q2 2025.
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GXO Logistics (GXO) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
GXO Logistics has reported Other Accumulated Expenses for 7 years, with the latest figure at $439.0 million in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses fell 14.92% year-over-year to $439.0 million in Q2 2026; TTM through Jun 2026 was $439.0 million, a 14.92% decrease from a year earlier, with the FY2025 full-year figure at $434.0 million, up 12.73% from the prior year.
- Other Accumulated Expenses was $439.0 million for Q2 2026 at GXO Logistics, up from $413.0 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $516.0 million in Q2 2025, with the low at $146.0 million in Q1 2022.
- Average Other Accumulated Expenses over 5 years is $326.5 million, with a median of $348.0 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Other Accumulated Expenses sank 39.78% in 2022, then soared 69.75% in 2023.
- Over 5 years, Other Accumulated Expenses stood at $193.0 million in 2022, then jumped by 69.43% to $327.0 million in 2023, then advanced by 17.74% to $385.0 million in 2024, then climbed by 12.73% to $434.0 million in 2025, then grew by 1.15% to $439.0 million in 2026.
- The last three Other Accumulated Expenses figures came in at $439.0 million (Q2 2026), $413.0 million (Q1 2026), and $434.0 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 439.00 Mn |
| Mar 31, 2026 | 413.00 Mn |
| Dec 31, 2025 | 434.00 Mn |
| Sep 30, 2025 | 430.00 Mn |
| Jun 30, 2025 | 516.00 Mn |
| Mar 31, 2025 | 396.00 Mn |
| Dec 31, 2024 | 385.00 Mn |
| Sep 30, 2024 | 369.00 Mn |
| Jun 30, 2024 | 402.00 Mn |
| Mar 31, 2024 | 311.00 Mn |
| Dec 31, 2023 | 327.00 Mn |
| Sep 30, 2023 | 275.00 Mn |
| Jun 30, 2023 | 284.00 Mn |
| Mar 31, 2023 | 209.00 Mn |
| Dec 31, 2022 | 193.00 Mn |
| Sep 30, 2022 | 162.00 Mn |
| Jun 30, 2022 | 186.00 Mn |
| Mar 31, 2022 | 146.00 Mn |
| Dec 31, 2021 | 220.00 Mn |
| Sep 30, 2021 | 269.00 Mn |
API Access
GXO Logistics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();