Advantage Solutions (ADV) EBITDA (2020 - 2026)
Advantage Solutions (ADV) posted EBITDA of $52.96 million for Q2 2026, down 12.8% from $60.71 million a year earlier and down 5.0% from the prior quarter.
Powered by 
Analysis
Advantage Solutions (ADV) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Advantage Solutions was $88.04 million, up 236.5% year-over-year; for FY2025, it came in at $75.79 million.
- Annual EBITDA shows a five-year compound annual growth rate of -24.3% (FY2020 to FY2025).
- In prior years, Advantage Solutions' EBITDA was -$90.43 million in FY2024, $255.45 million in FY2023, -$1.28 billion in FY2022 and $470.09 million in FY2021 (+53.8%).
- Quarterly EBITDA has run from a low of -$1.55 billion in Q4 2022 to a high of $143 million in Q4 2021 over five years.
- On a year-over-year basis, EBITDA increased in three of the last five quarters, with growth averaging 38.6%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2025, with growth of 86.7%; the weakest was Q1 2024, with a decline of 67.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $55.73 million (Q1 2026), -$111.56 million (Q4 2025) and $90.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Advantage Solutions | 409.49 Mn | -327.22 Mn | 105.62 Mn | 52.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.96 Mn |
| Mar 31, 2026 | 55.73 Mn |
| Dec 31, 2025 | -111.56 Mn |
| Sep 30, 2025 | 90.90 Mn |
| Jun 30, 2025 | 60.71 Mn |
| Mar 31, 2025 | 35.74 Mn |
| Dec 31, 2024 | -118.98 Mn |
| Sep 30, 2024 | 48.69 Mn |
| Jun 30, 2024 | -39.94 Mn |
| Mar 31, 2024 | 19.80 Mn |
| Dec 31, 2023 | 72.08 Mn |
| Sep 30, 2023 | 59.07 Mn |
| Jun 30, 2023 | 67.73 Mn |
| Mar 31, 2023 | 61.24 Mn |
| Dec 31, 2022 | -1.55 Bn |
| Sep 30, 2022 | 104.63 Mn |
| Jun 30, 2022 | 86.71 Mn |
| Mar 31, 2022 | 80.79 Mn |
| Dec 31, 2021 | 143.00 Mn |
| Sep 30, 2021 | 124.77 Mn |
API Access
Advantage Solutions EBITDA 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=ebitda&ticker=ADV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ADV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();