Fti Consulting (FCN) Non Operating Interest Expenses (2009 - 2026)
Fti Consulting's Non Operating Interest Expenses was $11.63 million in 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) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fti Consulting's Non Operating Interest Expenses was $33.25 million through Jun 30, 2026, up 308.5% year-over-year; for FY2025, it was $21.4 million, up 207.8% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, Non Operating 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 marks the highest quarterly Non Operating Interest Expenses since Q3 2015.
- Compared with a year earlier, Non Operating Interest Expenses has increased for five straight quarters, with growth averaging 254.7% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2025 (growth of 952.7%); the worst was Q4 2024 (a decline of 81.6%).
- Per Business Quant data, FCN's Non Operating Interest Expenses in the three quarters before Q2 2026 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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | - |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 9.39 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Fti Consulting | 4.26 Bn | 3.49 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 Non Operating 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=non-operating-interest-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();