Fti Consulting (FCN) Return on Sales [ROS] (2009 - 2026)
Fti Consulting's Return on Sales [ROS] was 8.56% in Q2 2026, down 1.96 percentage points from 10.52% a year earlier but up 0.02 percentage points from the prior quarter.
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Analysis
Fti Consulting (FCN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fti Consulting's Return on Sales [ROS] was 9.69% through Jun 30, 2026, up 0.91 percentage points year-over-year; for FY2025, it came in at 10.27%, up 0.88 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1.22 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 9.39% in FY2024 (-1.43 pp), 10.82% in FY2023 (+0.79 pp), 10.03% in FY2022 (-1.21 pp) and 11.24% in FY2021 (-0.24 pp).
- Quarterly Return on Sales [ROS] has moved between 5.89% (Q4 2024) and 12.61% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -0.91 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 3.54 percentage points); the worst was Q4 2024 (a drop of 6.55 percentage points).
- Per Business Quant data, FCN's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.53% (Q1 2026), 9.43% (Q4 2025) and 12.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 20.45% |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 18.38% |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 22.59% |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 4.26% |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Fti Consulting | 4.36 Bn | 3.58 Bn | 316.27 Mn | 8.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.56% |
| Mar 31, 2026 | 8.53% |
| Dec 31, 2025 | 9.43% |
| Sep 30, 2025 | 12.31% |
| Jun 30, 2025 | 10.52% |
| Mar 31, 2025 | 8.76% |
| Dec 31, 2024 | 5.89% |
| Sep 30, 2024 | 9.82% |
| Jun 30, 2024 | 10.97% |
| Mar 31, 2024 | 10.73% |
| Dec 31, 2023 | 12.44% |
| Sep 30, 2023 | 11.98% |
| Jun 30, 2023 | 10.26% |
| Mar 31, 2023 | 8.28% |
| Dec 31, 2022 | 9.38% |
| Sep 30, 2022 | 11.30% |
| Jun 30, 2022 | 8.51% |
| Mar 31, 2022 | 10.96% |
| Dec 31, 2021 | 7.55% |
| Sep 30, 2021 | 12.61% |
API Access
Fti Consulting Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();