Maximus (MMS) Long-Term Debt Repayments (2012 - 2026)
Maximus (MMS) reported Long-Term Debt Repayments of $600.94 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 182.7% from $212.54 million a year earlier and up 80.7% from the prior quarter.
Maximus (MMS) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Maximus' Long-Term Debt Repayments came in at $1.55 billion, up 45.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.3 billion, up 7.0% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $1.21 billion in FY2024 (+27.2%), $952.97 million in FY2023 (+23.7%), $770.66 million in FY2022 (-6.5%) and $824.48 million in FY2021 (+33.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q1 2013.
- Year over year, Long-Term Debt Repayments gained in five of the last eight quarters, with growth averaging 29.0%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q1 2023 (growth of 267.7%); the low point was fiscal Q1 2022 (a decline of 88.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $332.5 million (Q2 2026), $132.5 million (Q1 2026) and $487.47 million (Q4 2025).
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 | Maximus | 3.29 Bn | 2.71 Bn | 348.80 Mn | 600.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600.94 Mn |
| Mar 31, 2026 | 332.50 Mn |
| Dec 31, 2025 | 132.50 Mn |
| Sep 30, 2025 | 487.47 Mn |
| Jun 30, 2025 | 212.54 Mn |
| Mar 31, 2025 | 418.38 Mn |
| Dec 31, 2024 | 179.26 Mn |
| Sep 30, 2024 | 259.38 Mn |
| Jun 30, 2024 | 488.04 Mn |
| Mar 31, 2024 | 298.13 Mn |
| Dec 31, 2023 | 166.66 Mn |
| Sep 30, 2023 | 222.46 Mn |
| Jun 30, 2023 | 200.05 Mn |
| Mar 31, 2023 | 469.11 Mn |
| Dec 31, 2022 | 61.36 Mn |
| Sep 30, 2022 | 327.69 Mn |
| Jun 30, 2022 | 139.27 Mn |
| Mar 31, 2022 | 287.02 Mn |
| Dec 31, 2021 | 16.69 Mn |
| Sep 30, 2021 | 216.60 Mn |
Maximus 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=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MMS", "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=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();