Kirby (KEX) Accumulated Expenses (2009 - 2026)
Kirby's Accumulated Expenses came in at $212.12 million for Q2 2026, up 4.2% from $203.52 million a year earlier and up 5.6% from the prior quarter.
Analysis
Kirby (KEX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Kirby's Accumulated Expenses was $232.62 million, down 1.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $236.81 million in FY2024 (+3.4%), $228.95 million in FY2023 (+11.8%), $204.75 million in FY2022 (-13.3%) and $236.08 million in FY2021 (+5.0%).
- The five-year range for quarterly Accumulated Expenses is $173.99 million (Q1 2023) to $236.81 million (Q4 2024).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 2.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2024 (growth of 12.0%), and the weakest in Q2 2022 (a decline of 14.4%).
- Business Quant data shows KEX's Accumulated Expenses at $200.85 million (Q1 2026), $232.62 million (Q4 2025) and $219.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Kirby | 6.93 Bn | 6.71 Bn | 290.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.12 Mn |
| Mar 31, 2026 | 200.85 Mn |
| Dec 31, 2025 | 232.62 Mn |
| Sep 30, 2025 | 219.58 Mn |
| Jun 30, 2025 | 203.52 Mn |
| Mar 31, 2025 | 190.41 Mn |
| Dec 31, 2024 | 236.81 Mn |
| Sep 30, 2024 | 217.21 Mn |
| Jun 30, 2024 | 211.28 Mn |
| Mar 31, 2024 | 194.82 Mn |
| Dec 31, 2023 | 228.95 Mn |
| Sep 30, 2023 | 199.12 Mn |
| Jun 30, 2023 | 205.25 Mn |
| Mar 31, 2023 | 173.99 Mn |
| Dec 31, 2022 | 204.75 Mn |
| Sep 30, 2022 | 209.72 Mn |
| Jun 30, 2022 | 198.19 Mn |
| Mar 31, 2022 | 188.30 Mn |
| Dec 31, 2021 | 236.08 Mn |
| Sep 30, 2021 | 228.38 Mn |
API Access
Kirby Accumulated 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=accumulated-expenses&ticker=KEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=KEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();