Fti Consulting (FCN) Other Operating Expenses (2009 - 2026)
Fti Consulting (FCN) reported Other Operating Expenses of $677.73 million for Q2 2026, up 5.5% from $642.19 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Fti Consulting (FCN) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fti Consulting's Other Operating Expenses came in at $2.68 billion, up 6.8% year-over-year; for FY2025, it came in at $2.57 billion, up 2.1% from FY2024.
- Other Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $2.52 billion in FY2024 (+6.8%), $2.36 billion in FY2023 (+13.7%), $2.08 billion in FY2022 (+7.7%) and $1.93 billion in FY2021 (+14.5%).
- Five-year quarterly Other Operating Expenses spans a low of $475.1 million in Q3 2021 and a high of $683.71 million in Q4 2025.
- Year over year, Other Operating Expenses has now increased in each of the last five quarters, with growth averaging 4.0% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2023 (growth of 14.6%); the low point was Q1 2025 (a decline of 2.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $677.13 million (Q1 2026), $683.71 million (Q4 2025) and $639.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - |
| 10 | Fti Consulting | 4.26 Bn | 3.49 Bn | 316.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 677.73 Mn |
| Mar 31, 2026 | 677.13 Mn |
| Dec 31, 2025 | 683.71 Mn |
| Sep 30, 2025 | 639.01 Mn |
| Jun 30, 2025 | 642.19 Mn |
| Mar 31, 2025 | 609.95 Mn |
| Dec 31, 2024 | 625.90 Mn |
| Sep 30, 2024 | 629.13 Mn |
| Jun 30, 2024 | 638.83 Mn |
| Mar 31, 2024 | 627.05 Mn |
| Dec 31, 2023 | 615.03 Mn |
| Sep 30, 2023 | 600.14 Mn |
| Jun 30, 2023 | 589.51 Mn |
| Mar 31, 2023 | 555.69 Mn |
| Dec 31, 2022 | 536.80 Mn |
| Sep 30, 2022 | 528.97 Mn |
| Jun 30, 2022 | 522.82 Mn |
| Mar 31, 2022 | 495.37 Mn |
| Dec 31, 2021 | 486.43 Mn |
| Sep 30, 2021 | 475.10 Mn |
API Access
Fti Consulting Other Operating Expenses 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=other-operating-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();