Accenture (ACN) Interest Expenses (2009 - 2026)
Accenture's Interest Expenses was $70.65 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 4.5% from $67.6 million a year earlier and up 11.1% from the prior quarter.
Accenture (ACN) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Accenture's Interest Expenses was $265.82 million through May 31, 2026, up 43.6% year-over-year; for FY2025 (ended Aug 31, 2025), it was $228.56 million, up 287.6% from FY2024.
- Interest Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 47.2% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $58.97 million in FY2024 (+24.1%), $47.53 million in FY2023 (+0.4%), $47.32 million in FY2022 (-20.5%) and $59.49 million in FY2021 (+79.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q2 2009.
- Compared with a year earlier, Interest Expenses was higher in seven of the last eight quarters, with growth averaging 184.1%.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q2 2025 (growth of 527.5%); the worst was fiscal Q3 2022 (a decline of 58.1%).
- Per Business Quant data, ACN's Interest Expenses in the three fiscal quarters before Q3 2026 was $63.57 million (Q2 2026), $65.37 million (Q1 2026) and $66.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 7.16 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 70.65 Mn |
| Feb 28, 2026 | 63.57 Mn |
| Nov 30, 2025 | 65.37 Mn |
| Aug 31, 2025 | 66.24 Mn |
| May 31, 2025 | 67.60 Mn |
| Feb 28, 2025 | 64.67 Mn |
| Nov 30, 2024 | 30.04 Mn |
| Aug 31, 2024 | 22.84 Mn |
| May 31, 2024 | 11.33 Mn |
| Feb 29, 2024 | 10.31 Mn |
| Nov 30, 2023 | 14.50 Mn |
| Aug 31, 2023 | 17.40 Mn |
| May 31, 2023 | 11.21 Mn |
| Feb 28, 2023 | 11.63 Mn |
| Nov 30, 2022 | 7.28 Mn |
| Aug 31, 2022 | 12.87 Mn |
| May 31, 2022 | 12.05 Mn |
| Feb 28, 2022 | 11.22 Mn |
| Nov 30, 2021 | 11.18 Mn |
| Aug 31, 2021 | 12.98 Mn |
Accenture Interest 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=interest-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ACN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();