Kirby (KEX) Operating Expenses (2009 - 2026)
Kirby's Operating Expenses was $800.04 million in Q2 2026, up 10.6% from $723.61 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Kirby (KEX) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kirby's Operating Expenses was $3 billion through Jun 30, 2026, up 4.9% year-over-year; for FY2025, it came in at $2.87 billion, unchanged from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.87 billion in FY2024 (+4.0%), $2.76 billion in FY2023 (+6.4%), $2.59 billion in FY2022 (+3.5%) and $2.5 billion in FY2021 (-3.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2021.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 96.3%); the worst was Q3 2022 (a decline of 25.0%).
- Per Business Quant data, KEX's Operating Expenses in the three quarters before Q2 2026 was $736.43 million (Q1 2026), $722.1 million (Q4 2025) and $741.94 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 | Kirby | 6.95 Bn | 6.73 Bn | 290.80 Mn | 800.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 800.04 Mn |
| Mar 31, 2026 | 736.43 Mn |
| Dec 31, 2025 | 722.10 Mn |
| Sep 30, 2025 | 741.94 Mn |
| Jun 30, 2025 | 723.61 Mn |
| Mar 31, 2025 | 680.11 Mn |
| Dec 31, 2024 | 752.17 Mn |
| Sep 30, 2024 | 704.22 Mn |
| Jun 30, 2024 | 703.89 Mn |
| Mar 31, 2024 | 706.50 Mn |
| Dec 31, 2023 | 706.36 Mn |
| Sep 30, 2023 | 671.25 Mn |
| Jun 30, 2023 | 689.95 Mn |
| Mar 31, 2023 | 688.99 Mn |
| Dec 31, 2022 | 672.42 Mn |
| Sep 30, 2022 | 686.94 Mn |
| Jun 30, 2022 | 651.43 Mn |
| Mar 31, 2022 | 581.09 Mn |
| Dec 31, 2021 | 559.67 Mn |
| Sep 30, 2021 | 915.85 Mn |
API Access
Kirby 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=KEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KEX", "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=KEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();