Fti Consulting (FCN) Cost of Revenue (2009 - 2026)
Fti Consulting's Cost of Revenue came in at $677.19 million for Q2 2026, up 5.6% from $641.14 million a year earlier and up 0.1% from the prior quarter.
Fti Consulting (FCN) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fti Consulting reported Cost of Revenue of $2.68 billion, up 6.9% year-over-year; for FY2025, it came in at $2.57 billion, up 2.2% from FY2024.
- Cost of Revenue has increased in each of the last 16 years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $2.52 billion in FY2024 (+6.9%), $2.35 billion in FY2023 (+14.0%), $2.07 billion in FY2022 (+7.9%) and $1.92 billion in FY2021 (+14.5%).
- The five-year range for quarterly Cost of Revenue is $472.24 million (Q3 2021) to $683.08 million (Q4 2025).
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2023 (growth of 16.7%), and the weakest in Q1 2025 (a decline of 2.7%).
- Business Quant data shows FCN's Cost of Revenue at $676.52 million (Q1 2026), $683.08 million (Q4 2025) and $638.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 508.63 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 399.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Fti Consulting | 4.32 Bn | 3.55 Bn | 316.27 Mn | 677.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 677.19 Mn |
| Mar 31, 2026 | 676.52 Mn |
| Dec 31, 2025 | 683.08 Mn |
| Sep 30, 2025 | 638.23 Mn |
| Jun 30, 2025 | 641.14 Mn |
| Mar 31, 2025 | 608.93 Mn |
| Dec 31, 2024 | 624.86 Mn |
| Sep 30, 2024 | 628.08 Mn |
| Jun 30, 2024 | 637.75 Mn |
| Mar 31, 2024 | 626.03 Mn |
| Dec 31, 2023 | 613.81 Mn |
| Sep 30, 2023 | 598.80 Mn |
| Jun 30, 2023 | 588.09 Mn |
| Mar 31, 2023 | 553.51 Mn |
| Dec 31, 2022 | 526.14 Mn |
| Sep 30, 2022 | 526.65 Mn |
| Jun 30, 2022 | 520.08 Mn |
| Mar 31, 2022 | 493.10 Mn |
| Dec 31, 2021 | 484.13 Mn |
| Sep 30, 2021 | 472.24 Mn |
Fti Consulting Cost of Revenue 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=cost-of-revenue&ticker=FCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();