Advantage Solutions (ADV) Other Operating Expenses (2020 - 2026)
Advantage Solutions (ADV) reported Other Operating Expenses of $836.83 million for Q2 2026, up 5.3% from $795.04 million a year earlier and up 3.0% from the prior quarter.
Advantage Solutions (ADV) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Advantage Solutions' Other Operating Expenses came in at $3.48 billion, up 2.2% year-over-year; for FY2025, it was $3.36 billion, down 4.2% from FY2024.
- Other Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 68.5% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $3.51 billion in FY2024 (-2.0%), $3.58 billion in FY2023 (-27.5%), $4.94 billion in FY2022 and $138.88 million in FY2021 (-43.9%).
- Five-year quarterly Other Operating Expenses spans a low of $660.37 million in Q4 2023 and a high of $2.25 billion in Q4 2022.
- Year over year, Other Operating Expenses has now increased in each of the last three quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2022 (growth of 149.2%); the low point was Q4 2023 (a decline of 70.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $812.13 million (Q1 2026), $1.01 billion (Q4 2025) and $817.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Advantage Solutions | 332.93 Mn | -403.78 Mn | 105.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 836.83 Mn |
| Mar 31, 2026 | 812.13 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 817.28 Mn |
| Jun 30, 2025 | 795.04 Mn |
| Mar 31, 2025 | 771.55 Mn |
| Dec 31, 2024 | 988.66 Mn |
| Sep 30, 2024 | 844.01 Mn |
| Jun 30, 2024 | 901.76 Mn |
| Mar 31, 2024 | 802.28 Mn |
| Dec 31, 2023 | 660.37 Mn |
| Sep 30, 2023 | 944.76 Mn |
| Jun 30, 2023 | 900.03 Mn |
| Mar 31, 2023 | 881.35 Mn |
| Dec 31, 2022 | 2.25 Bn |
| Sep 30, 2022 | 966.31 Mn |
| Jun 30, 2022 | 900.23 Mn |
| Mar 31, 2022 | 843.71 Mn |
| Dec 31, 2021 | 904.90 Mn |
| Sep 30, 2021 | 825.42 Mn |
Advantage Solutions Other 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=other-operating-expenses&ticker=ADV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ADV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ADV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();