GXO Logistics (GXO) Total Current Liabilities (2020 - 2026)
GXO Logistics' Total Current Liabilities came in at $4.12 billion for Q2 2026, up 20.9% from $3.41 billion a year earlier and up 9.2% from the prior quarter.
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Analysis
GXO Logistics (GXO) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, GXO Logistics' Total Current Liabilities was $3.88 billion, up 21.5% from FY2024.
- Total Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $3.19 billion in FY2024 (+21.4%), $2.63 billion in FY2023 (+3.7%), $2.53 billion in FY2022 (+8.7%) and $2.33 billion in FY2021 (+34.0%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Current Liabilities has increased for 17 consecutive quarters, with growth averaging 20.5% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 1.3% (Q3 2022) and 41.0% (Q3 2024) over the last five years.
- Business Quant data shows GXO's Total Current Liabilities at $3.78 billion (Q1 2026), $3.88 billion (Q4 2025) and $3.93 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 5.61 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 4.15 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 14.88 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 4.09 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 3.37 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 33.58 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 531.38 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 27.76 Bn |
| 10 | GXO Logistics | 5.46 Bn | 2.71 Bn | 508.00 Mn | 4.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Bn |
| Mar 31, 2026 | 3.78 Bn |
| Dec 31, 2025 | 3.88 Bn |
| Sep 30, 2025 | 3.93 Bn |
| Jun 30, 2025 | 3.41 Bn |
| Mar 31, 2025 | 3.37 Bn |
| Dec 31, 2024 | 3.19 Bn |
| Sep 30, 2024 | 3.43 Bn |
| Jun 30, 2024 | 3.27 Bn |
| Mar 31, 2024 | 2.63 Bn |
| Dec 31, 2023 | 2.63 Bn |
| Sep 30, 2023 | 2.43 Bn |
| Jun 30, 2023 | 2.40 Bn |
| Mar 31, 2023 | 2.42 Bn |
| Dec 31, 2022 | 2.53 Bn |
| Sep 30, 2022 | 2.28 Bn |
| Jun 30, 2022 | 2.36 Bn |
| Mar 31, 2022 | 2.12 Bn |
| Dec 31, 2021 | 2.33 Bn |
| Sep 30, 2021 | 2.25 Bn |
API Access
GXO Logistics Total Current Liabilities 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=total-current-liabilities&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();