Marten Transport (MRTN) Tax Provisions (2010 - 2026)
Marten Transport's Tax Provisions came in at $2.3 million for Q2 2026, down 23.0% from $2.98 million a year earlier but up 244.5% from the prior quarter.
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Analysis
Marten Transport (MRTN) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Marten Transport reported Tax Provisions of $5.04 million, down 35.2% year-over-year; for FY2025, it came in at $6.93 million, down 26.4% from FY2024.
- Tax Provisions has declined in each of the last three years, with a five-year compound annual growth rate of -21.9% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $9.42 million in FY2024 (-60.0%), $23.54 million in FY2023 (-30.4%), $33.82 million in FY2022 (+28.6%) and $26.3 million in FY2021 (+10.1%).
- The five-year range for quarterly Tax Provisions is $667,000 (Q1 2026) to $9.31 million (Q2 2022).
- Year-over-year, Tax Provisions has declined for 14 consecutive quarters, with an average decline of 41.0% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2022 (growth of 38.8%), and the weakest in Q3 2024 (a decline of 69.1%).
- Business Quant data shows MRTN's Tax Provisions at $667,000 (Q1 2026), $1.35 million (Q4 2025) and $725,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.77 Bn | 165.29 Bn | - | 562.00 Mn |
| 2 | Csx | 89.05 Bn | 85.26 Bn | - | 318.00 Mn |
| 3 | United Parcel Service | 83.97 Bn | 60.86 Bn | - | 157.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.60 Bn | 76.62 Bn | - | 242.18 Mn |
| 5 | Norfolk Southern | 73.07 Bn | 67.71 Bn | - | 225.00 Mn |
| 6 | Fedex | 70.34 Bn | 36.29 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 49.90 Bn | 32.09 Bn | - | 318.00 Mn |
| 8 | Old Dominion Freight Line | 38.97 Bn | 38.23 Bn | - | 116.87 Mn |
| 9 | United Airlines Holdings | 31.75 Bn | -24.62 Bn | - | 221.00 Mn |
| 10 | Marten Transport | 1.03 Bn | 758.73 Mn | - | 2.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 667,000.00 |
| Dec 31, 2025 | 1.35 Mn |
| Sep 30, 2025 | 725,000.00 |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 1.49 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 3.40 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 4.65 Mn |
| Jun 30, 2023 | 7.42 Mn |
| Mar 31, 2023 | 7.35 Mn |
| Dec 31, 2022 | 7.79 Mn |
| Sep 30, 2022 | 8.38 Mn |
| Jun 30, 2022 | 9.31 Mn |
| Mar 31, 2022 | 8.33 Mn |
| Dec 31, 2021 | 5.96 Mn |
| Sep 30, 2021 | 7.23 Mn |
API Access
Marten Transport Tax Provisions 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=tax-provisions&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();