Marten Transport (MRTN) Depreciation and Depletion (2010 - 2026)
Marten Transport's Depreciation and Depletion was $24.76 million in Q2 2026, down 9.3% from $27.31 million a year earlier and down 1.0% from the prior quarter.
Marten Transport (MRTN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marten Transport's Depreciation and Depletion was $100.38 million through Jun 30, 2026, down 8.5% year-over-year; for FY2025, it was $105.39 million, down 5.6% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $111.65 million in FY2024 (-4.3%), $116.72 million in FY2023 (+5.1%), $111.01 million in FY2022 (+8.2%) and $102.56 million in FY2021 (-0.3%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion since Q3 2019.
- Compared with a year earlier, Depreciation and Depletion has declined for 11 straight quarters, with an average decline of 6.3% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2022 (growth of 14.1%); the worst was Q2 2026 (a decline of 9.3%).
- Per Business Quant data, MRTN's Depreciation and Depletion in the three quarters before Q2 2026 was $25.01 million (Q1 2026), $25.17 million (Q4 2025) and $25.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 643.00 Mn |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | - |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | - |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 363.00 Mn |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | - |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | - |
| 10 | Marten Transport | 1.00 Bn | 737.91 Mn | - | 24.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.76 Mn |
| Mar 31, 2026 | 25.01 Mn |
| Dec 31, 2025 | 25.17 Mn |
| Sep 30, 2025 | 25.45 Mn |
| Jun 30, 2025 | 27.31 Mn |
| Mar 31, 2025 | 27.47 Mn |
| Dec 31, 2024 | 27.53 Mn |
| Sep 30, 2024 | 27.39 Mn |
| Jun 30, 2024 | 28.21 Mn |
| Mar 31, 2024 | 28.53 Mn |
| Dec 31, 2023 | 28.75 Mn |
| Sep 30, 2023 | 29.02 Mn |
| Jun 30, 2023 | 29.43 Mn |
| Mar 31, 2023 | 29.53 Mn |
| Dec 31, 2022 | 29.63 Mn |
| Sep 30, 2022 | 28.38 Mn |
| Jun 30, 2022 | 26.87 Mn |
| Mar 31, 2022 | 26.14 Mn |
| Dec 31, 2021 | 25.96 Mn |
| Sep 30, 2021 | 25.37 Mn |
Marten Transport 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=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "MRTN", "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=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();