Fti Consulting (FCN) Property, Plant & Equipment (Net) (2009 - 2026)
Fti Consulting (FCN) posted Property, Plant & Equipment (Net) of $163.78 million for Q2 2026, down 2.9% from $168.73 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Fti Consulting (FCN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Fti Consulting's Property, Plant & Equipment (Net) came in at $169.33 million, up 12.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Fti Consulting's Property, Plant & Equipment (Net) was $150.3 million in FY2024 (-5.9%), $159.66 million in FY2023 (+4.0%), $153.47 million in FY2022 (+8.0%) and $142.16 million in FY2021 (+39.9%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 40.3%; the weakest was Q3 2024, with a decline of 8.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $166.21 million (Q1 2026), $169.33 million (Q4 2025) and $170.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 111.03 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 766.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 199.25 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.74 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 443.00 Mn |
| 10 | Fti Consulting | 4.36 Bn | 3.58 Bn | 316.27 Mn | 163.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.78 Mn |
| Mar 31, 2026 | 166.21 Mn |
| Dec 31, 2025 | 169.33 Mn |
| Sep 30, 2025 | 170.55 Mn |
| Jun 30, 2025 | 168.73 Mn |
| Mar 31, 2025 | 162.10 Mn |
| Dec 31, 2024 | 150.30 Mn |
| Sep 30, 2024 | 150.38 Mn |
| Jun 30, 2024 | 152.31 Mn |
| Mar 31, 2024 | 152.95 Mn |
| Dec 31, 2023 | 159.66 Mn |
| Sep 30, 2023 | 164.92 Mn |
| Jun 30, 2023 | 164.89 Mn |
| Mar 31, 2023 | 163.05 Mn |
| Dec 31, 2022 | 153.47 Mn |
| Sep 30, 2022 | 144.71 Mn |
| Jun 30, 2022 | 144.05 Mn |
| Mar 31, 2022 | 141.24 Mn |
| Dec 31, 2021 | 142.16 Mn |
| Sep 30, 2021 | 132.86 Mn |
API Access
Fti Consulting Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();