Arcbest (ARCB) Operating Expenses (2009 - 2026)
Arcbest (ARCB) recorded Operating Expenses of $1.21 billion in Q2 2026, up 22.4% from $984.95 million a year earlier and up 21.1% from the prior quarter.
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Analysis
Arcbest (ARCB) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Arcbest's Operating Expenses came in at $4.17 billion as of Jun 30, 2026, up 8.8% year-over-year; for FY2025, it came in at $3.92 billion, down 0.4% from FY2024.
- Annual Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $3.93 billion in FY2024 (-7.5%), $4.25 billion in FY2023 (-8.2%), $4.63 billion in FY2022 (+32.8%) and $3.49 billion in FY2021 (+22.8%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 47.4% in Q1 2022, against a decline of 14.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $995.36 million (Q1 2026), $980.95 million (Q4 2025) and $993.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Arcbest | 2.84 Bn | 2.33 Bn | - | 1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 995.36 Mn |
| Dec 31, 2025 | 980.95 Mn |
| Sep 30, 2025 | 993.51 Mn |
| Jun 30, 2025 | 984.95 Mn |
| Mar 31, 2025 | 960.45 Mn |
| Dec 31, 2024 | 963.48 Mn |
| Sep 30, 2024 | 928.13 Mn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.11 Bn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.19 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 888.42 Mn |
| Sep 30, 2021 | 929.10 Mn |
API Access
Arcbest Operating Expenses 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=operating-expenses&ticker=ARCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ARCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();