Matson (MATX) Operating Expenses (2009 - 2026)
Matson (MATX) posted Operating Expenses of $810.5 million for Q2 2026, up 13.0% from $717.5 million a year earlier and up 16.4% from the prior quarter.
Powered by 
Analysis
Matson (MATX) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Matson was $2.93 billion, up 1.9% year-over-year; for FY2025, it was $2.84 billion, down 0.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Matson's Operating Expenses was $2.87 billion in FY2024 (+4.3%), $2.75 billion in FY2023 (-7.9%), $2.99 billion in FY2022 (+9.2%) and $2.74 billion in FY2021 (+30.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2009.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 2.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 35.9%; the weakest was Q2 2023, with a decline of 11.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $696.4 million (Q1 2026), $708.2 million (Q4 2025) and $719.1 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 | Matson | 6.68 Bn | 6.23 Bn | - | 810.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 810.50 Mn |
| Mar 31, 2026 | 696.40 Mn |
| Dec 31, 2025 | 708.20 Mn |
| Sep 30, 2025 | 719.10 Mn |
| Jun 30, 2025 | 717.50 Mn |
| Mar 31, 2025 | 699.90 Mn |
| Dec 31, 2024 | 742.80 Mn |
| Sep 30, 2024 | 719.70 Mn |
| Jun 30, 2024 | 722.80 Mn |
| Mar 31, 2024 | 685.20 Mn |
| Dec 31, 2023 | 713.60 Mn |
| Sep 30, 2023 | 695.40 Mn |
| Jun 30, 2023 | 676.70 Mn |
| Mar 31, 2023 | 666.10 Mn |
| Dec 31, 2022 | 709.00 Mn |
| Sep 30, 2022 | 779.50 Mn |
| Jun 30, 2022 | 768.00 Mn |
| Mar 31, 2022 | 732.90 Mn |
| Dec 31, 2021 | 791.50 Mn |
| Sep 30, 2021 | 693.70 Mn |
API Access
Matson 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=MATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();