Advantage Solutions (ADV) Long-Term Debt Repayments (2020 - 2026)
Advantage Solutions' Long-Term Debt Repayments came in at $6.47 million for Q2 2026, up 95.2% from $3.31 million a year earlier but down 95.1% from the prior quarter.
Advantage Solutions (ADV) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Advantage Solutions reported Long-Term Debt Repayments of $144.41 million; for FY2025, it came in at $13.25 million, up 0.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -66.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $13.13 million in FY2024 (-1.2%), $13.29 million in FY2023 (unchanged), $13.29 million in FY2022 (-0.1%) and $13.31 million in FY2021 (-99.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $2.87 million (Q4 2022) to $131.32 million (Q1 2026).
- Year-over-year, Long-Term Debt Repayments increased in four of the last seven quarters, with growth averaging 13.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2026 (growth of 95.2%), and the weakest in Q4 2021 (a decline of 99.9%).
- Business Quant data shows ADV's Long-Term Debt Repayments at $131.32 million (Q1 2026), $3.31 million (Q4 2025) and $3.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 11.63 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Advantage Solutions | 365.55 Mn | -371.16 Mn | 105.62 Mn | 6.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.47 Mn |
| Mar 31, 2026 | 131.32 Mn |
| Dec 31, 2025 | 3.31 Mn |
| Sep 30, 2025 | 3.31 Mn |
| Jun 30, 2025 | 3.31 Mn |
| Mar 31, 2025 | 3.31 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 3.30 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 3.32 Mn |
| Dec 31, 2023 | 3.12 Mn |
| Sep 30, 2023 | 3.43 Mn |
| Jun 30, 2023 | 3.42 Mn |
| Mar 31, 2023 | 3.32 Mn |
| Dec 31, 2022 | 2.87 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.33 Mn |
| Mar 31, 2022 | 3.33 Mn |
| Dec 31, 2021 | 3.18 Mn |
| Sep 30, 2021 | 3.28 Mn |
Advantage Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ADV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ADV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();