GXO Logistics (GXO) Restructuring Costs (2020 - 2026)
GXO Logistics (GXO) posted Restructuring Costs of $5 million for Q2 2026, up 150.0% from $2 million a year earlier and up 66.7% from the prior quarter.
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Analysis
GXO Logistics (GXO) Restructuring Costs (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at GXO Logistics was $16 million, down 40.7% year-over-year; for FY2025, it was $27 million, up 8.0% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, GXO Logistics' Restructuring Costs was $25 million in FY2024 (unchanged), $25 million in FY2023 (-21.9%), $32 million in FY2022 (+700.0%) and $4 million in FY2021 (-86.2%).
- Quarterly Restructuring Costs has run from a low of -$6 million in Q4 2023 to a high of $21 million in Q1 2023 over five years.
- On a year-over-year basis, Restructuring Costs increased in four of the last six quarters, with growth averaging 22.6%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q1 2022, with growth of 225.0%; the weakest was Q1 2026, with a decline of 82.4%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $3 million (Q1 2026), $5 million (Q4 2025) and $3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - |
| 10 | GXO Logistics | 5.46 Bn | 2.71 Bn | 508.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.00 Mn |
| Mar 31, 2026 | 3.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 17.00 Mn |
| Dec 31, 2024 | -1.00 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 16.00 Mn |
| Dec 31, 2023 | -6.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 18.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 13.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
| Jun 30, 2021 | -1.00 Mn |
API Access
GXO Logistics Restructuring Costs 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=restructuring-costs&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();