Accenture (ACN) Operating Expenses (2009 - 2026)
Accenture (ACN) recorded Operating Expenses of $15.54 billion in fiscal Q3 2026 (quarter ended May 31, 2026), up 5.4% from $14.75 billion a year earlier and unchanged from the prior quarter.
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Analysis
Accenture (ACN) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Accenture's Operating Expenses came in at $62.51 billion as of May 31, 2026, up 7.9% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $59.45 billion, up 7.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $55.3 billion in FY2024 (unchanged), $55.3 billion in FY2023 (+5.9%), $52.23 billion in FY2022 (+21.7%) and $42.91 billion in FY2021 (+13.5%).
- Quarterly Operating Expenses has ranged from $11.46 billion in fiscal Q4 2021 to $15.87 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 26.9% in fiscal Q1 2022, against a decline of 2.6% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.55 billion (Q2 2026), $15.87 billion (Q1 2026) and $15.55 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 15.54 Bn |
| Feb 28, 2026 | 15.55 Bn |
| Nov 30, 2025 | 15.87 Bn |
| Aug 31, 2025 | 15.55 Bn |
| May 31, 2025 | 14.75 Bn |
| Feb 28, 2025 | 14.41 Bn |
| Nov 30, 2024 | 14.74 Bn |
| Aug 31, 2024 | 14.05 Bn |
| May 31, 2024 | 13.84 Bn |
| Feb 29, 2024 | 13.75 Bn |
| Nov 30, 2023 | 13.66 Bn |
| Aug 31, 2023 | 14.07 Bn |
| May 31, 2023 | 14.21 Bn |
| Feb 28, 2023 | 13.87 Bn |
| Nov 30, 2022 | 13.15 Bn |
| Aug 31, 2022 | 13.16 Bn |
| May 31, 2022 | 13.56 Bn |
| Feb 28, 2022 | 12.99 Bn |
| Nov 30, 2021 | 12.53 Bn |
| Aug 31, 2021 | 11.46 Bn |
API Access
Accenture Operating 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=operating-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ACN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();