Fti Consulting (FCN) Selling, General & Administrative (2009 - 2026)
Fti Consulting (FCN) recorded Selling, General & Administrative of $230.71 million in Q2 2026, up 14.1% from $202.2 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Fti Consulting (FCN) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Fti Consulting's Selling, General & Administrative came in at $866.1 million as of Jun 30, 2026, up 8.2% year-over-year; for FY2025, it came in at $799.62 million, down 2.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $822.15 million in FY2024 (+9.4%), $751.31 million in FY2023 (+17.2%), $641.07 million in FY2022 (+19.2%) and $537.84 million in FY2021 (+10.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2009.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 25.4% in Q2 2022, against a decline of 8.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $222.3 million (Q1 2026), $213.6 million (Q4 2025) and $199.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | 402.34 Mn |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | 334.98 Mn |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 528.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | 764.59 Mn |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | 78.63 Mn |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Fti Consulting | 4.57 Bn | 3.80 Bn | 316.27 Mn | 230.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.71 Mn |
| Mar 31, 2026 | 222.30 Mn |
| Dec 31, 2025 | 213.60 Mn |
| Sep 30, 2025 | 199.48 Mn |
| Jun 30, 2025 | 202.20 Mn |
| Mar 31, 2025 | 184.34 Mn |
| Dec 31, 2024 | 208.05 Mn |
| Sep 30, 2024 | 206.00 Mn |
| Jun 30, 2024 | 206.24 Mn |
| Mar 31, 2024 | 201.87 Mn |
| Dec 31, 2023 | 194.63 Mn |
| Sep 30, 2023 | 186.09 Mn |
| Jun 30, 2023 | 186.37 Mn |
| Mar 31, 2023 | 184.21 Mn |
| Dec 31, 2022 | 164.97 Mn |
| Sep 30, 2022 | 159.19 Mn |
| Jun 30, 2022 | 167.94 Mn |
| Mar 31, 2022 | 148.97 Mn |
| Dec 31, 2021 | 138.77 Mn |
| Sep 30, 2021 | 138.60 Mn |
API Access
Fti Consulting Selling, General & Administrative 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=selling-general-and-administrative&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();