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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.34 Bn | 110.62 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 89.61 Bn | 88.69 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.21 Bn | 14.25 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.60 Bn | 16.15 Bn | 582.90 Mn | 32.99 Mn |
| 6 | Gartner | 15.43 Bn | 9.12 Bn | 1.19 Bn | 53.59 Mn |
| 7 | UL Solutions | 14.71 Bn | 13.47 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Aramark | 13.89 Bn | 11.83 Bn | 430.34 Mn | -6.96 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.02 Bn | - | - |
| 10 | Tetra Tech | 9.52 Bn | 8.62 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();