Advantage Solutions (ADV) EBITDA (2020 - 2026)
Advantage Solutions (ADV) posted EBITDA of $60.44 million for Q3 2026, down 34.8% from $92.67 million a year earlier but up 9.7% from the prior quarter.
Powered by 
Analysis
Advantage Solutions (ADV) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Advantage Solutions was $62.77 million, down 16.6% year-over-year; for FY2025, it came in at $82.83 million.
- Annual EBITDA shows a five-year compound annual growth rate of -23.7% (FY2020 to FY2025).
- In prior years, Advantage Solutions' EBITDA was -$83.66 million in FY2024, $263.74 million in FY2023, -$1.27 billion in FY2022 and $479.34 million in FY2021 (+49.6%).
- 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 32.6%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2025, with growth of 84.0%; the weakest was Q1 2024, with a decline of 65.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $55.09 million (Q2 2026), $57.03 million (Q1 2026) and -$109.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 327.51 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Advantage Solutions | 430.38 Mn | -236.51 Mn | 129.13 Mn | 60.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.44 Mn |
| Jun 30, 2026 | 55.09 Mn |
| Mar 31, 2026 | 57.03 Mn |
| Dec 31, 2025 | -109.79 Mn |
| Sep 30, 2025 | 92.67 Mn |
| Jun 30, 2025 | 62.46 Mn |
| Mar 31, 2025 | 37.49 Mn |
| Dec 31, 2024 | -117.35 Mn |
| Sep 30, 2024 | 50.36 Mn |
| Jun 30, 2024 | -38.27 Mn |
| Mar 31, 2024 | 21.60 Mn |
| Dec 31, 2023 | 73.99 Mn |
| Sep 30, 2023 | 61.22 Mn |
| Jun 30, 2023 | 69.86 Mn |
| Mar 31, 2023 | 63.35 Mn |
| Dec 31, 2022 | -1.55 Bn |
| Sep 30, 2022 | 106.87 Mn |
| Jun 30, 2022 | 88.88 Mn |
| Mar 31, 2022 | 83.05 Mn |
| Dec 31, 2021 | 143.00 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();