ICF International (ICFI) Operating Expenses (2010 - 2026)
ICF International (ICFI) recorded Operating Expenses of $136.75 million in Q2 2026, down 0.7% from $137.72 million a year earlier but up 3.6% from the prior quarter.
ICF International (ICFI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, ICF International's Operating Expenses came in at $534.91 million as of Jun 30, 2026, down 6.7% year-over-year; for FY2025, it was $550.55 million, down 3.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $571.93 million in FY2024 (+1.1%), $565.9 million in FY2023 (+5.4%), $536.78 million in FY2022 (+16.1%) and $462.54 million in FY2021 (+3.9%).
- Quarterly Operating Expenses has ranged from $107.62 million in Q3 2021 to $152.5 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 2.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 24.3% in Q4 2022, against a decline of 10.0% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $132.01 million (Q1 2026), $129.72 million (Q4 2025) and $136.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 165.04 Bn | 125.44 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 87.12 Bn | 86.21 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 35.25 Bn | 34.77 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 19.14 Bn | 16.36 Bn | 770.00 Mn | 568.00 Mn |
| 5 | Rollins | 16.58 Bn | 16.13 Bn | 582.90 Mn | 866.81 Mn |
| 6 | UL Solutions | 15.24 Bn | 14.03 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.76 Bn | 12.78 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.20 Bn | 7.90 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 11.76 Bn | 5.27 Bn | - | - |
| 10 | ICF International | 1.72 Bn | 1.70 Bn | 176.64 Mn | 136.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.75 Mn |
| Mar 31, 2026 | 132.01 Mn |
| Dec 31, 2025 | 129.72 Mn |
| Sep 30, 2025 | 136.43 Mn |
| Jun 30, 2025 | 137.72 Mn |
| Mar 31, 2025 | 146.69 Mn |
| Dec 31, 2024 | 142.75 Mn |
| Sep 30, 2024 | 145.93 Mn |
| Jun 30, 2024 | 140.29 Mn |
| Mar 31, 2024 | 142.96 Mn |
| Dec 31, 2023 | 137.89 Mn |
| Sep 30, 2023 | 146.11 Mn |
| Jun 30, 2023 | 142.63 Mn |
| Mar 31, 2023 | 139.27 Mn |
| Dec 31, 2022 | 152.50 Mn |
| Sep 30, 2022 | 132.25 Mn |
| Jun 30, 2022 | 124.43 Mn |
| Mar 31, 2022 | 127.61 Mn |
| Dec 31, 2021 | 122.73 Mn |
| Sep 30, 2021 | 107.62 Mn |
ICF International Operating 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=operating-expenses&ticker=ICFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ICFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();