Matson (MATX) EBITDA (2009 - 2026)
Matson (MATX) recorded EBITDA of $201 million in Q2 2026, up 30.4% from $154.2 million a year earlier and up 94.0% from the prior quarter.
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Analysis
Matson (MATX) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Matson's EBITDA came in at $694.4 million as of Jun 30, 2026, down 6.7% year-over-year; for FY2025, it was $666.7 million, down 5.4% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $704.4 million in FY2024 (+45.2%), $485 million in FY2023 (-67.5%), $1.49 billion in FY2022 (+12.8%) and $1.32 billion in FY2021 (+234.9%).
- Quarterly EBITDA has ranged from $74.1 million in Q1 2024 to $528.6 million in Q2 2022 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 23.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 244.7% in Q4 2021, against a decline of 84.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $103.6 million (Q1 2026), $186.7 million (Q4 2025) and $203.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.40 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 1.86 Bn |
| 10 | Matson | 7.18 Bn | 6.72 Bn | - | 209.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.40 Mn |
| Mar 31, 2026 | 111.30 Mn |
| Dec 31, 2025 | 194.90 Mn |
| Sep 30, 2025 | 210.20 Mn |
| Jun 30, 2025 | 161.20 Mn |
| Mar 31, 2025 | 129.30 Mn |
| Dec 31, 2024 | 193.40 Mn |
| Sep 30, 2024 | 287.50 Mn |
| Jun 30, 2024 | 169.80 Mn |
| Mar 31, 2024 | 80.90 Mn |
| Dec 31, 2023 | 116.10 Mn |
| Sep 30, 2023 | 174.30 Mn |
| Jun 30, 2023 | 139.20 Mn |
| Mar 31, 2023 | 80.70 Mn |
| Dec 31, 2022 | 132.50 Mn |
| Sep 30, 2022 | 375.50 Mn |
| Jun 30, 2022 | 534.80 Mn |
| Mar 31, 2022 | 474.90 Mn |
| Dec 31, 2021 | 516.80 Mn |
| Sep 30, 2021 | 416.30 Mn |
API Access
Matson EBITDA 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=ebitda&ticker=MATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MATX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();