GXO Logistics (GXO) Tax Provisions (2020 - 2026)
GXO Logistics (GXO) reported Tax Provisions of $21 million for Q2 2026, up 40.0% from $15 million a year earlier and up 75.0% from the prior quarter.
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Analysis
GXO Logistics (GXO) Tax Provisions (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GXO Logistics' Tax Provisions came in at $84 million, up 300.0% year-over-year; for FY2025, it was $68 million, up 750.0% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- By year, Tax Provisions came in at $8 million in FY2024 (-75.8%), $33 million in FY2023 (-48.4%), $64 million in FY2022 and -$8 million in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$31 million in Q3 2021 and a high of $28 million in Q3 2025.
- Year over year, Tax Provisions gained in four of the last five quarters, with growth averaging 158.8%.
- The high point for year-over-year Tax Provisions in five years was Q1 2026 (growth of 500.0%); the low point was Q1 2023 (a decline of 72.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12 million (Q1 2026), $23 million (Q4 2025) and $28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.38 Bn | 168.91 Bn | - | 562.00 Mn |
| 2 | Csx | 95.46 Bn | 91.67 Bn | - | 318.00 Mn |
| 3 | United Parcel Service | 85.37 Bn | 62.27 Bn | - | 157.00 Mn |
| 4 | Canadian Pacific Kansas City | 80.13 Bn | 79.15 Bn | - | 242.18 Mn |
| 5 | Norfolk Southern | 74.79 Bn | 69.43 Bn | - | 225.00 Mn |
| 6 | Fedex | 71.16 Bn | 37.11 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 50.99 Bn | 33.18 Bn | - | 318.00 Mn |
| 8 | Old Dominion Freight Line | 39.59 Bn | 38.85 Bn | - | 116.87 Mn |
| 9 | United Airlines Holdings | 32.78 Bn | -23.59 Bn | - | 221.00 Mn |
| 10 | GXO Logistics | 5.63 Bn | 2.87 Bn | 508.00 Mn | 21.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -3.00 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | -10.00 Mn |
| Dec 31, 2023 | -5.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 13.00 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 21.00 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
| Sep 30, 2021 | -31.00 Mn |
API Access
GXO Logistics Tax Provisions 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=tax-provisions&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();