Frontline (FRO) Selling, General & Administrative (2009 - 2026)
Frontline's Selling, General & Administrative was $12.5 million in Q2 2026, up 8.5% from $11.52 million a year earlier but down 51.8% from the prior quarter.
Frontline (FRO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Frontline's Selling, General & Administrative was $64.92 million through Jun 30, 2026, up 93.6% year-over-year; for FY2025, it was $51.37 million, up 42.3% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $36.09 million in FY2024 (-32.6%), $53.53 million in FY2023 (+13.0%), $47.37 million in FY2022 (+79.3%) and $26.42 million in FY2021 (-40.3%).
- Quarterly Selling, General & Administrative has moved between $1.71 million (Q4 2024) and $25.92 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 77.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 553.5%); the worst was Q4 2024 (a decline of 87.7%).
- Per Business Quant data, FRO's Selling, General & Administrative in the three quarters before Q2 2026 was $25.92 million (Q1 2026), $11.17 million (Q4 2025) and $15.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (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 | Frontline | 10.97 Bn | 9.73 Bn | - | 12.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.50 Mn |
| Mar 31, 2026 | 25.92 Mn |
| Dec 31, 2025 | 11.17 Mn |
| Sep 30, 2025 | 15.33 Mn |
| Jun 30, 2025 | 11.52 Mn |
| Mar 31, 2025 | 13.35 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 6.97 Mn |
| Jun 30, 2024 | 12.57 Mn |
| Mar 31, 2024 | 14.85 Mn |
| Dec 31, 2023 | 13.89 Mn |
| Sep 30, 2023 | 15.30 Mn |
| Jun 30, 2023 | 11.70 Mn |
| Mar 31, 2023 | 12.64 Mn |
| Dec 31, 2022 | 18.39 Mn |
| Sep 30, 2022 | 13.45 Mn |
| Jun 30, 2022 | 9.10 Mn |
| Mar 31, 2022 | 6.90 Mn |
| Dec 31, 2021 | 7.11 Mn |
| Sep 30, 2021 | 6.45 Mn |
Frontline 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=FRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FRO", "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=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();