Fti Consulting (FCN) Short-Term Debt repayments (2010 - 2026)
Fti Consulting (FCN) recorded Short-Term Debt repayments of $230 million in Q2 2026, up 15.0% from $200 million a year earlier but down 54.0% from the prior quarter.
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Analysis
Fti Consulting (FCN) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Fti Consulting's Short-Term Debt repayments came in at $1.37 billion as of Jun 30, 2026, up 230.1% year-over-year; for FY2025, it came in at $915 million, up 52.5% from FY2024.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $600 million in FY2024 (-28.1%), $835 million in FY2023 (+406.1%), $165 million in FY2022 (-59.0%) and $402.5 million in FY2021 (+39.0%).
- Quarterly Short-Term Debt repayments has ranged from $25 million in Q2 2022 to $500 million in Q1 2026 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments rose in three of the last six quarters, with growth averaging 96.6%.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 600.0% in Q2 2023, against a decline of 84.8% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $500 million (Q1 2026), $385 million (Q4 2025) and $255 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | - |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Fti Consulting | 4.29 Bn | 3.52 Bn | 316.27 Mn | 230.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.00 Mn |
| Mar 31, 2026 | 500.00 Mn |
| Dec 31, 2025 | 385.00 Mn |
| Sep 30, 2025 | 255.00 Mn |
| Jun 30, 2025 | 200.00 Mn |
| Mar 31, 2025 | 75.00 Mn |
| Sep 30, 2024 | 140.00 Mn |
| Jun 30, 2024 | 385.00 Mn |
| Mar 31, 2024 | 75.00 Mn |
| Dec 31, 2023 | 395.00 Mn |
| Sep 30, 2023 | 220.00 Mn |
| Jun 30, 2023 | 175.00 Mn |
| Mar 31, 2023 | 45.00 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 140.00 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 160.00 Mn |
| Jun 30, 2021 | 165.00 Mn |
| Mar 31, 2021 | 27.50 Mn |
| Dec 31, 2020 | 165.00 Mn |
API Access
Fti Consulting Short-Term Debt repayments 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=short-term-debt-repayments&ticker=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();