Fti Consulting (FCN) Change in Receivables (2009 - 2026)
Fti Consulting's Change in Receivables came in at $18.29 million for Q2 2026, up 8.6% from $16.84 million a year earlier but down 85.2% from the prior quarter.
Fti Consulting (FCN) Change in Receivables (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fti Consulting reported Change in Receivables of $84.16 million; for FY2025, it came in at $34.26 million.
- Change in Receivables carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Change in Receivables was -$18.34 million in FY2024, $229.3 million in FY2023 (+25.5%), $182.67 million in FY2022 (+198.1%) and $61.27 million in FY2021 (+128.6%).
- The five-year range for quarterly Change in Receivables is -$118.34 million (Q4 2024) to $152.26 million (Q2 2023).
- Year-over-year, Change in Receivables increased in three of the last four quarters, with growth averaging 3.9%.
- The fastest year-over-year change in Change in Receivables over five years came in Q2 2022 (growth of 151.5%), and the weakest in Q2 2024 (a decline of 72.5%).
- Business Quant data shows FCN's Change in Receivables at $123.34 million (Q1 2026), -$88.45 million (Q4 2025) and $30.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.28 Bn | 105.56 Bn | 6.13 Bn | 422.98 Mn |
| 2 | Cintas | 86.25 Bn | 85.34 Bn | 1.55 Bn | 32.73 Mn |
| 3 | Iron Mountain | 33.68 Bn | 32.88 Bn | 1.07 Bn | - |
| 4 | APi | 17.32 Bn | 14.35 Bn | 703.00 Mn | 120.00 Mn |
| 5 | Rollins | 15.93 Bn | 15.48 Bn | 569.95 Mn | 36.79 Mn |
| 6 | Aramark | 14.77 Bn | 12.72 Bn | 430.34 Mn | 44.72 Mn |
| 7 | UL Solutions | 14.76 Bn | 13.52 Bn | 417.00 Mn | -24.00 Mn |
| 8 | Gartner | 14.53 Bn | 8.22 Bn | 1.19 Bn | -204.17 Mn |
| 9 | Rentokil Initial | 10.67 Bn | 4.19 Bn | - | - |
| 10 | Fti Consulting | 4.31 Bn | 3.54 Bn | 316.27 Mn | 18.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.29 Mn |
| Mar 31, 2026 | 123.34 Mn |
| Dec 31, 2025 | -88.45 Mn |
| Sep 30, 2025 | 30.97 Mn |
| Jun 30, 2025 | 16.84 Mn |
| Mar 31, 2025 | 74.89 Mn |
| Dec 31, 2024 | -118.34 Mn |
| Sep 30, 2024 | -15.10 Mn |
| Jun 30, 2024 | 41.91 Mn |
| Mar 31, 2024 | 73.20 Mn |
| Dec 31, 2023 | -104.42 Mn |
| Sep 30, 2023 | 87.71 Mn |
| Jun 30, 2023 | 152.26 Mn |
| Mar 31, 2023 | 93.74 Mn |
| Dec 31, 2022 | -68.61 Mn |
| Sep 30, 2022 | 70.54 Mn |
| Jun 30, 2022 | 114.27 Mn |
| Mar 31, 2022 | 66.47 Mn |
| Dec 31, 2021 | -54.27 Mn |
| Sep 30, 2021 | -23.29 Mn |
Fti Consulting Change in Receivables 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=change-in-receivables&ticker=FCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();