Arcbest (ARCB) Intangibles (2010 - 2026)
Arcbest (ARCB) recorded Intangibles of $37.72 million in Q2 2026, down 54.3% from $82.45 million a year earlier and down 43.6% from the prior quarter.
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Analysis
Arcbest (ARCB) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Arcbest reported Intangibles of $69.39 million, down 21.7% from FY2024.
- Annual Intangibles has declined for four straight years, though with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $88.62 million in FY2024 (-12.4%), $101.15 million in FY2023 (-11.1%), $113.73 million in FY2022 (-10.1%) and $126.58 million in FY2021 (+130.2%).
- The Q2 2026 figure is the lowest quarterly Intangibles since Q4 2011.
- On a year-over-year basis, Intangibles has declined for 15 consecutive quarters, with an average decline of 20.2% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 130.2% in Q4 2021, against a decline of 54.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.87 million (Q1 2026), $69.39 million (Q4 2025) and $79.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.91 Bn | 165.43 Bn | - | - |
| 2 | Csx | 89.25 Bn | 85.46 Bn | - | - |
| 3 | United Parcel Service | 85.16 Bn | 62.05 Bn | - | 3.95 Bn |
| 4 | Canadian Pacific Kansas City | 77.99 Bn | 77.01 Bn | - | 2.09 Bn |
| 5 | Norfolk Southern | 73.38 Bn | 68.03 Bn | - | - |
| 6 | Fedex | 70.85 Bn | 36.80 Bn | - | - |
| 7 | Delta Air Lines | 51.51 Bn | 33.69 Bn | - | 5.96 Bn |
| 8 | Old Dominion Freight Line | 39.21 Bn | 38.47 Bn | - | - |
| 9 | United Airlines Holdings | 33.69 Bn | -22.68 Bn | - | 2.65 Bn |
| 10 | Arcbest | 2.93 Bn | 2.42 Bn | - | 37.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.72 Mn |
| Mar 31, 2026 | 66.87 Mn |
| Dec 31, 2025 | 69.39 Mn |
| Sep 30, 2025 | 79.23 Mn |
| Jun 30, 2025 | 82.45 Mn |
| Mar 31, 2025 | 85.45 Mn |
| Dec 31, 2024 | 88.62 Mn |
| Sep 30, 2024 | 91.63 Mn |
| Jun 30, 2024 | 94.74 Mn |
| Mar 31, 2024 | 97.94 Mn |
| Dec 31, 2023 | 101.15 Mn |
| Sep 30, 2023 | 104.29 Mn |
| Jun 30, 2023 | 107.47 Mn |
| Mar 31, 2023 | 110.62 Mn |
| Dec 31, 2022 | 113.73 Mn |
| Sep 30, 2022 | 116.92 Mn |
| Jun 30, 2022 | 120.15 Mn |
| Mar 31, 2022 | 123.36 Mn |
| Dec 31, 2021 | 126.58 Mn |
| Sep 30, 2021 | 52.14 Mn |
API Access
Arcbest Intangibles 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=intangibles&ticker=ARCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ARCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();