ICF International (ICFI) Long-Term Debt Repayments (2010 - 2026)
ICF International (ICFI) reported Long-Term Debt Repayments of -$268.23 million for Q2 2026, compared with -$421.11 million a year earlier.
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Analysis
ICF International (ICFI) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ICF International's Long-Term Debt Repayments came in at $1.36 billion, up 129.8% year-over-year; for FY2025, it was $1.36 billion, up 9.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.25 billion in FY2024 (-9.1%), $1.37 billion in FY2023 (-5.1%), $1.45 billion in FY2022 (+87.0%) and $773.26 million in FY2021 (-11.1%).
- Five-year quarterly Long-Term Debt Repayments spans a low of -$421.11 million in Q2 2025 and a high of $1.01 billion in Q3 2025.
- Year over year, Long-Term Debt Repayments gained in three of the last six quarters, with growth averaging 39.5%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2025 (growth of 270.7%); the low point was Q2 2023 (a decline of 39.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $269.57 million (Q1 2026), $347.69 million (Q4 2025) and $1.01 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 158.58 Bn | 117.87 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.02 Bn | 87.11 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.52 Bn | 33.72 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 19.01 Bn | 16.23 Bn | 770.00 Mn | 7.00 Mn |
| 5 | Rollins | 16.56 Bn | 16.10 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.19 Bn | 8.88 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.05 Bn | 13.81 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 14.11 Bn | 12.06 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.75 Bn | 5.26 Bn | - | - |
| 10 | ICF International | 1.71 Bn | 1.69 Bn | 176.64 Mn | -268.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -268.23 Mn |
| Mar 31, 2026 | 269.57 Mn |
| Dec 31, 2025 | 347.69 Mn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | -421.11 Mn |
| Mar 31, 2025 | 422.41 Mn |
| Dec 31, 2024 | 317.75 Mn |
| Sep 30, 2024 | 272.62 Mn |
| Jun 30, 2024 | 345.61 Mn |
| Mar 31, 2024 | 311.81 Mn |
| Dec 31, 2023 | 377.23 Mn |
| Sep 30, 2023 | 370.69 Mn |
| Jun 30, 2023 | 330.91 Mn |
| Mar 31, 2023 | 293.64 Mn |
| Dec 31, 2022 | 371.24 Mn |
| Sep 30, 2022 | 236.63 Mn |
| Jun 30, 2022 | 546.60 Mn |
| Mar 31, 2022 | 291.66 Mn |
| Dec 31, 2021 | 179.49 Mn |
| Sep 30, 2021 | 229.38 Mn |
API Access
ICF International Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ICFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ICFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();