Accenture (ACN) Change in Accured Expenses (2009 - 2026)
Accenture (ACN) reported Change in Accured Expenses of $967.46 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 49.6% from $646.61 million a year earlier.
Accenture (ACN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Accenture's Change in Accured Expenses came in at $1.69 billion, up 372.1% year-over-year; for FY2025 (ended Aug 31, 2025), it was $904.32 million.
- By fiscal year, Change in Accured Expenses came in at -$614.77 million in FY2024, -$261.91 million in FY2023, $1.27 billion in FY2022 (-12.0%) and $1.45 billion in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$1.27 billion in fiscal Q2 2024 and a high of $1.04 billion in fiscal Q4 2025.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 43.0%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2025 (growth of 110.1%); the low point was fiscal Q4 2024 (a decline of 38.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$245.31 million (Q2 2026), -$74.33 million (Q1 2026) and $1.04 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 967.46 Mn |
| Feb 28, 2026 | -245.31 Mn |
| Nov 30, 2025 | -74.33 Mn |
| Aug 31, 2025 | 1.04 Bn |
| May 31, 2025 | 646.61 Mn |
| Feb 28, 2025 | -477.34 Mn |
| Nov 30, 2024 | -307.36 Mn |
| Aug 31, 2024 | 496.12 Mn |
| May 31, 2024 | 429.91 Mn |
| Feb 29, 2024 | -1.27 Bn |
| Nov 30, 2023 | -273.76 Mn |
| Aug 31, 2023 | 802.66 Mn |
| May 31, 2023 | 648.89 Mn |
| Feb 28, 2023 | -941.73 Mn |
| Nov 30, 2022 | -771.74 Mn |
| Aug 31, 2022 | 782.26 Mn |
| May 31, 2022 | 1.03 Bn |
| Feb 28, 2022 | -264.51 Mn |
| Nov 30, 2021 | -276.97 Mn |
| Aug 31, 2021 | 529.60 Mn |
Accenture Change in Accured 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=change-in-accured-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();