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.
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Analysis
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 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 | Icon Energy | 675,384.44 | 675,384.44 | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();