AleAnna (ANNA) Selling, General & Administrative (2024 - 2026)
AleAnna's Selling, General & Administrative came in at $4.06 million for Q2 2026, up 126.9% from $1.79 million a year earlier.
AleAnna (ANNA) Selling, General & Administrative (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, AleAnna reported Selling, General & Administrative of $10.4 million, up 23.8% year-over-year; for FY2025, it was $9.66 million, up 54.3% from FY2024.
- Going back by year, Selling, General & Administrative was $6.26 million in FY2024 (+11.2%) and $5.63 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 2.91 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 1.31 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | - |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 188.00 Mn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | -3.44 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 538.00 Mn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | AleAnna | 176.04 Mn | 78.03 Mn | - | 4.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.06 Mn |
| Dec 31, 2025 | 2.48 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | 1.79 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 957,952.00 |
| Mar 31, 2024 | 2.02 Mn |
AleAnna Selling, General & Administrative 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=selling-general-and-administrative&ticker=ANNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ANNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=ANNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();