Fti Consulting (FCN) EBITDA (2009 - 2026)
Fti Consulting's EBITDA came in at $97.84 million for Q2 2026, down 12.4% from $111.69 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Fti Consulting (FCN) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fti Consulting reported EBITDA of $431.46 million, up 16.6% year-over-year; for FY2025, it came in at $438.34 million, up 10.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $395.47 million in FY2024 (-6.9%), $424.84 million in FY2023 (+21.6%), $349.42 million in FY2022 (-2.2%) and $357.14 million in FY2021 (+9.6%).
- The five-year range for quarterly EBITDA is $61.98 million (Q4 2021) to $130.59 million (Q3 2025).
- Year-over-year, EBITDA increased in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2025 (growth of 62.1%), and the weakest in Q4 2024 (a decline of 48.6%).
- Business Quant data shows FCN's EBITDA at $96.82 million (Q1 2026), $106.21 million (Q4 2025) and $130.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.30 Bn | 105.58 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 86.13 Bn | 85.21 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.91 Bn | 33.10 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.19 Bn | 14.23 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 15.87 Bn | 15.42 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 14.75 Bn | 13.51 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 14.50 Bn | 8.19 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | Fti Consulting | 4.30 Bn | 3.53 Bn | 316.27 Mn | 97.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.84 Mn |
| Mar 31, 2026 | 96.82 Mn |
| Dec 31, 2025 | 106.21 Mn |
| Sep 30, 2025 | 130.59 Mn |
| Jun 30, 2025 | 111.69 Mn |
| Mar 31, 2025 | 89.87 Mn |
| Dec 31, 2024 | 65.90 Mn |
| Sep 30, 2024 | 103.32 Mn |
| Jun 30, 2024 | 116.09 Mn |
| Mar 31, 2024 | 111.31 Mn |
| Dec 31, 2023 | 127.64 Mn |
| Sep 30, 2023 | 119.17 Mn |
| Jun 30, 2023 | 100.88 Mn |
| Mar 31, 2023 | 79.09 Mn |
| Dec 31, 2022 | 84.47 Mn |
| Sep 30, 2022 | 99.50 Mn |
| Jun 30, 2022 | 76.70 Mn |
| Mar 31, 2022 | 91.01 Mn |
| Dec 31, 2021 | 65.13 Mn |
| Sep 30, 2021 | 103.13 Mn |
API Access
Fti Consulting EBITDA 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=ebitda&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();