Fti Consulting (FCN) Interest Expenses (2009 - 2026)
Fti Consulting (FCN) posted Interest Expenses of $11.63 million for Q2 2026, up 121.2% from $5.26 million a year earlier and up 80.4% from the prior quarter.
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Analysis
Fti Consulting (FCN) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Fti Consulting was $33.25 million, up 308.5% year-over-year; for FY2025, it came in at $21.4 million, up 207.8% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Fti Consulting's Interest Expenses was $6.95 million in FY2024 (-51.5%), $14.33 million in FY2023 (+42.6%), $10.05 million in FY2022 (-50.5%) and $20.29 million in FY2021 (+2.5%).
- The Q2 2026 figure stands as the highest quarterly Interest Expenses since Q3 2015.
- On a year-over-year basis, Interest Expenses has increased in each of the last five quarters, with growth averaging 254.7% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2025, with growth of 952.7%; the weakest was Q4 2024, with a decline of 81.6%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $6.45 million (Q1 2026), $7.54 million (Q4 2025) and $7.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.13 Bn | 105.42 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 86.22 Bn | 85.30 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 34.02 Bn | 33.21 Bn | 1.07 Bn | - |
| 4 | APi | 17.28 Bn | 14.32 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 15.90 Bn | 15.45 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.81 Bn | 12.76 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 14.76 Bn | 13.52 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 14.41 Bn | 8.10 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Fti Consulting | 4.29 Bn | 3.52 Bn | 316.27 Mn | 11.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.63 Mn |
| Mar 31, 2026 | 6.45 Mn |
| Dec 31, 2025 | 7.54 Mn |
| Sep 30, 2025 | 7.63 Mn |
| Jun 30, 2025 | 5.26 Mn |
| Mar 31, 2025 | 968,000.00 |
| Dec 31, 2024 | 716,000.00 |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 3.90 Mn |
| Sep 30, 2023 | 4.47 Mn |
| Jun 30, 2023 | 3.02 Mn |
| Mar 31, 2023 | 2.94 Mn |
| Dec 31, 2022 | 2.58 Mn |
| Sep 30, 2022 | 2.38 Mn |
| Jun 30, 2022 | 2.45 Mn |
| Mar 31, 2022 | 2.64 Mn |
| Dec 31, 2021 | 5.13 Mn |
| Sep 30, 2021 | 5.07 Mn |
API Access
Fti Consulting Interest 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=interest-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FCN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();