Advantage Solutions (ADV) Other Accumulated Expenses (2019 - 2026)
Advantage Solutions (ADV) reported Other Accumulated Expenses of $118.27 million for Q2 2026, down 6.1% from $126.01 million a year earlier but up 35.2% from the prior quarter.
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Analysis
Advantage Solutions (ADV) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Advantage Solutions posted Other Accumulated Expenses of $105.45 million, down 21.7% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $134.68 million in FY2024 (-6.7%), $144.42 million in FY2023 (+8.4%), $133.17 million in FY2022 (-18.9%) and $164.13 million in FY2021 (+34.8%).
- Five-year quarterly Other Accumulated Expenses spans a low of $87.47 million in Q1 2026 and a high of $179.12 million in Q3 2023.
- Year over year, Other Accumulated Expenses has now declined in each of the last four quarters, with an average decline of 13.6% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2021 (growth of 34.8%); the low point was Q1 2026 (a decline of 34.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $87.47 million (Q1 2026), $105.45 million (Q4 2025) and $119.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - |
| 10 | Advantage Solutions | 357.54 Mn | -379.17 Mn | 105.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.27 Mn |
| Mar 31, 2026 | 87.47 Mn |
| Dec 31, 2025 | 105.45 Mn |
| Sep 30, 2025 | 119.80 Mn |
| Jun 30, 2025 | 126.01 Mn |
| Mar 31, 2025 | 134.04 Mn |
| Dec 31, 2024 | 134.68 Mn |
| Sep 30, 2024 | 155.18 Mn |
| Jun 30, 2024 | 118.90 Mn |
| Mar 31, 2024 | 147.12 Mn |
| Dec 31, 2023 | 144.42 Mn |
| Sep 30, 2023 | 179.12 Mn |
| Jun 30, 2023 | 156.45 Mn |
| Mar 31, 2023 | 160.74 Mn |
| Dec 31, 2022 | 133.17 Mn |
| Sep 30, 2022 | 161.25 Mn |
| Jun 30, 2022 | 141.12 Mn |
| Mar 31, 2022 | 176.50 Mn |
| Dec 31, 2021 | 164.13 Mn |
| Sep 30, 2021 | 155.37 Mn |
API Access
Advantage Solutions Other Accumulated 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-accumulated-expenses&ticker=ADV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ADV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();