Fti Consulting (FCN) EBIT (2009 - 2026)
Fti Consulting (FCN) recorded EBIT of $85.02 million in Q2 2026, down 14.3% from $99.26 million a year earlier but up 1.3% from the prior quarter.
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Analysis
Fti Consulting (FCN) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Fti Consulting's EBIT came in at $380.04 million as of Jun 30, 2026, up 18.2% year-over-year; for FY2025, it came in at $389.08 million, up 12.0% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $347.36 million in FY2024 (-8.0%), $377.56 million in FY2023 (+24.2%), $303.88 million in FY2022 (-2.6%) and $312.05 million in FY2021 (+10.4%).
- Quarterly EBIT has ranged from $51.03 million in Q4 2021 to $117.67 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBIT rose in three of the last eight quarters, with growth averaging 0.5%.
- Peak year-over-year performance for EBIT in the last five years was growth of 77.1% in Q4 2025, against a decline of 54.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $83.92 million (Q1 2026), $93.44 million (Q4 2025) and $117.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 711.89 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 201.36 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 150.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 215.59 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Fti Consulting | 4.32 Bn | 3.55 Bn | 316.27 Mn | 85.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.02 Mn |
| Mar 31, 2026 | 83.92 Mn |
| Dec 31, 2025 | 93.44 Mn |
| Sep 30, 2025 | 117.67 Mn |
| Jun 30, 2025 | 99.26 Mn |
| Mar 31, 2025 | 78.71 Mn |
| Dec 31, 2024 | 52.75 Mn |
| Sep 30, 2024 | 90.89 Mn |
| Jun 30, 2024 | 104.09 Mn |
| Mar 31, 2024 | 99.63 Mn |
| Dec 31, 2023 | 115.02 Mn |
| Sep 30, 2023 | 107.03 Mn |
| Jun 30, 2023 | 88.71 Mn |
| Mar 31, 2023 | 66.80 Mn |
| Dec 31, 2022 | 72.66 Mn |
| Sep 30, 2022 | 87.71 Mn |
| Jun 30, 2022 | 64.24 Mn |
| Mar 31, 2022 | 79.28 Mn |
| Dec 31, 2021 | 51.03 Mn |
| Sep 30, 2021 | 88.53 Mn |
API Access
Fti Consulting EBIT 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=ebit&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();