Arcbest (ARCB) Total Current Liabilities (2009 - 2026)
Arcbest's Total Current Liabilities came in at $729.58 million for Q2 2026, up 10.3% from $661.4 million a year earlier and up 5.4% from the prior quarter.
Arcbest (ARCB) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Arcbest's Total Current Liabilities was $656.89 million, down 1.4% from FY2024.
- Total Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $665.99 million in FY2024 (-5.1%), $701.56 million in FY2023 (-8.7%), $768.47 million in FY2022 (+9.4%) and $702.69 million in FY2021 (+38.7%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q4 2022.
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2022 (growth of 47.8%), and the weakest in Q2 2023 (a decline of 14.3%).
- Business Quant data shows ARCB's Total Current Liabilities at $692.03 million (Q1 2026), $656.89 million (Q4 2025) and $670.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 5.61 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 4.15 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 14.88 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 4.09 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 3.37 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 33.58 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 531.38 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 27.76 Bn |
| 10 | Arcbest | 2.92 Bn | 2.41 Bn | - | 729.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 729.58 Mn |
| Mar 31, 2026 | 692.03 Mn |
| Dec 31, 2025 | 656.89 Mn |
| Sep 30, 2025 | 670.46 Mn |
| Jun 30, 2025 | 661.40 Mn |
| Mar 31, 2025 | 624.34 Mn |
| Dec 31, 2024 | 665.99 Mn |
| Sep 30, 2024 | 665.57 Mn |
| Jun 30, 2024 | 645.85 Mn |
| Mar 31, 2024 | 618.58 Mn |
| Dec 31, 2023 | 701.56 Mn |
| Sep 30, 2023 | 668.37 Mn |
| Jun 30, 2023 | 641.27 Mn |
| Mar 31, 2023 | 688.04 Mn |
| Dec 31, 2022 | 768.47 Mn |
| Sep 30, 2022 | 757.37 Mn |
| Jun 30, 2022 | 748.17 Mn |
| Mar 31, 2022 | 740.11 Mn |
| Dec 31, 2021 | 702.69 Mn |
| Sep 30, 2021 | 615.68 Mn |
Arcbest 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=ARCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ARCB", "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=ARCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();