Fti Consulting (FCN) Shares Outstanding (Diluted) (2009 - 2026)
Fti Consulting's Shares Outstanding (Diluted) was 29.04 million in Q2 2026, down 13.6% from 33.59 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Fti Consulting (FCN) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Fti Consulting came in at 32.88 million, down 8.3% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 35.85 million in FY2024 (+0.6%), 35.65 million in FY2023 (-0.4%), 35.78 million in FY2022 (+1.3%) and 35.34 million in FY2021 (-4.9%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for six straight quarters, with an average decline of 6.7% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q1 2022 (growth of 1.7%); the worst was Q1 2026 (a decline of 14.6%).
- Per Business Quant data, FCN's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 30.33 million (Q1 2026), 32.88 million (Q4 2025) and 31.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 481.39 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 204.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 268.54 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | 507.00 Mn |
| 10 | Fti Consulting | 4.29 Bn | 3.52 Bn | 316.27 Mn | 29.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.04 Mn |
| Mar 31, 2026 | 30.33 Mn |
| Dec 31, 2025 | 32.88 Mn |
| Sep 30, 2025 | 31.82 Mn |
| Jun 30, 2025 | 33.59 Mn |
| Mar 31, 2025 | 35.50 Mn |
| Dec 31, 2024 | 35.85 Mn |
| Sep 30, 2024 | 35.89 Mn |
| Jun 30, 2024 | 35.85 Mn |
| Mar 31, 2024 | 35.79 Mn |
| Dec 31, 2023 | 35.65 Mn |
| Sep 30, 2023 | 35.66 Mn |
| Jun 30, 2023 | 35.65 Mn |
| Mar 31, 2023 | 35.48 Mn |
| Dec 31, 2022 | 35.78 Mn |
| Sep 30, 2022 | 35.92 Mn |
| Jun 30, 2022 | 35.91 Mn |
| Mar 31, 2022 | 35.65 Mn |
| Dec 31, 2021 | 35.34 Mn |
| Sep 30, 2021 | 35.36 Mn |
API Access
Fti Consulting Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();