Icon Energy (ICON) Accumulated Expenses (2023 - 2026)
Icon Energy (ICON) recorded Accumulated Expenses of $1.2 million in the quarter ended Jun 30, 2026, up 115.6% from $557,000 a year earlier and up 180.6% from the prior quarter.
Icon Energy (ICON) Accumulated Expenses (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Icon Energy reported Accumulated Expenses of $626,000, up 50.5% from the prior year.
- Across earlier years, Accumulated Expenses came in at $416,000 in the year ended Dec 31, 2024 (+11.8%) and $372,000 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2023.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 44.5% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $428,000 (quarter ended Mar 31, 2026), $626,000 (quarter ended Dec 31, 2025) and $761,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Icon Energy | 389,820.49 | -24.15 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 428,000.00 |
| Dec 31, 2025 | 626,000.00 |
| Sep 30, 2025 | 761,000.00 |
| Jun 30, 2025 | 557,000.00 |
| Mar 31, 2025 | 427,000.00 |
| Dec 31, 2024 | 416,000.00 |
| Dec 31, 2023 | 372,000.00 |
Icon Energy 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=ICON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ICON", "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=ICON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();