Arcbest (ARCB) Depreciation and Depletion (2017 - 2026)
Arcbest (ARCB) reported Depreciation and Depletion of $42.22 million for Q2 2026, up 11.9% from $37.73 million a year earlier and up 1.2% from the prior quarter.
Arcbest (ARCB) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arcbest's Depreciation and Depletion came in at $166.97 million, up 15.9% year-over-year; for FY2025, it was $157.54 million, up 15.6% from FY2024.
- Depreciation and Depletion has increased for eight consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $136.27 million in FY2024 (+2.5%), $132.9 million in FY2023 (+4.5%), $127.12 million in FY2022 (+6.9%) and $118.86 million in FY2021 (+3.9%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2017.
- Year over year, Depreciation and Depletion has now increased in each of the last seven quarters, with growth averaging 11.5% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2025 (growth of 23.3%); the low point was Q3 2024 (a decline of 1.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $41.71 million (Q1 2026), $41.85 million (Q4 2025) and $41.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Arcbest | 2.90 Bn | 2.39 Bn | - | 42.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.22 Mn |
| Mar 31, 2026 | 41.71 Mn |
| Dec 31, 2025 | 41.85 Mn |
| Sep 30, 2025 | 41.20 Mn |
| Jun 30, 2025 | 37.73 Mn |
| Mar 31, 2025 | 36.76 Mn |
| Dec 31, 2024 | 36.16 Mn |
| Sep 30, 2024 | 33.41 Mn |
| Jun 30, 2024 | 33.08 Mn |
| Mar 31, 2024 | 33.62 Mn |
| Dec 31, 2023 | 34.19 Mn |
| Sep 30, 2023 | 33.91 Mn |
| Jun 30, 2023 | 32.62 Mn |
| Mar 31, 2023 | 32.19 Mn |
| Dec 31, 2022 | 31.95 Mn |
| Sep 30, 2022 | 31.48 Mn |
| Jun 30, 2022 | 32.10 Mn |
| Mar 31, 2022 | 31.59 Mn |
| Dec 31, 2021 | 30.75 Mn |
| Sep 30, 2021 | 29.40 Mn |
Arcbest Depreciation and Depletion 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=depreciation-and-depletion&ticker=ARCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ARCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();