ICF International (ICFI) Selling, General & Administrative (2010 - 2026)
ICF International (ICFI) reported Selling, General & Administrative of $123.33 million for Q2 2026, up 0.3% from $123.02 million a year earlier and up 3.8% from the prior quarter.
ICF International (ICFI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ICF International's Selling, General & Administrative came in at $479.65 million, down 7.3% year-over-year; for FY2025, it came in at $492.4 million, down 5.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $518.45 million in FY2024 (+2.6%), $505.16 million in FY2023 (+3.8%), $486.86 million in FY2022 (+13.1%) and $430.57 million in FY2021 (+4.6%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2025.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 19.4%); the low point was Q4 2025 (a decline of 11.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $118.83 million (Q1 2026), $115.24 million (Q4 2025) and $122.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 78.63 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 334.98 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | ICF International | 1.47 Bn | 1.45 Bn | 176.64 Mn | 123.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.33 Mn |
| Mar 31, 2026 | 118.83 Mn |
| Dec 31, 2025 | 115.24 Mn |
| Sep 30, 2025 | 122.26 Mn |
| Jun 30, 2025 | 123.02 Mn |
| Mar 31, 2025 | 131.89 Mn |
| Dec 31, 2024 | 129.45 Mn |
| Sep 30, 2024 | 132.82 Mn |
| Jun 30, 2024 | 127.09 Mn |
| Mar 31, 2024 | 129.09 Mn |
| Dec 31, 2023 | 123.35 Mn |
| Sep 30, 2023 | 131.55 Mn |
| Jun 30, 2023 | 126.52 Mn |
| Mar 31, 2023 | 123.73 Mn |
| Dec 31, 2022 | 136.72 Mn |
| Sep 30, 2022 | 118.29 Mn |
| Jun 30, 2022 | 114.40 Mn |
| Mar 31, 2022 | 117.45 Mn |
| Dec 31, 2021 | 114.47 Mn |
| Sep 30, 2021 | 99.94 Mn |
ICF International 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=ICFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ICFI", "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=ICFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();