Maximus (MMS) Interest Expenses (2015 - 2026)
Maximus' Interest Expenses came in at $23.88 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.4% from $22.66 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Maximus (MMS) Interest Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Maximus reported Interest Expenses of $89.24 million, up 9.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $84.08 million, up 2.0% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 110.0% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $82.44 million in FY2024 (-2.0%), $84.14 million in FY2023 (+83.0%), $45.97 million in FY2022 (+211.8%) and $14.74 million in FY2021 (+616.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Interest Expenses in data going back to fiscal Q3 2015.
- Year-over-year, Interest Expenses has increased for six consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q3 2022 (growth of 249.6%), and the weakest in fiscal Q1 2025 (a decline of 18.5%).
- Business Quant data shows MMS's Interest Expenses at $22.11 million (Q2 2026), $20.82 million (Q1 2026) and $22.43 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | - |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Maximus | 2.77 Bn | 2.20 Bn | 348.80 Mn | 23.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.88 Mn |
| Mar 31, 2026 | 22.11 Mn |
| Dec 31, 2025 | 20.82 Mn |
| Sep 30, 2025 | 22.43 Mn |
| Jun 30, 2025 | 22.66 Mn |
| Mar 31, 2025 | 21.47 Mn |
| Dec 31, 2024 | 17.52 Mn |
| Sep 30, 2024 | 20.01 Mn |
| Jun 30, 2024 | 20.56 Mn |
| Mar 31, 2024 | 20.37 Mn |
| Dec 31, 2023 | 21.51 Mn |
| Sep 30, 2023 | 20.51 Mn |
| Jun 30, 2023 | 21.03 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 21.61 Mn |
| Sep 30, 2022 | 16.10 Mn |
| Jun 30, 2022 | 10.79 Mn |
| Mar 31, 2022 | 9.44 Mn |
| Dec 31, 2021 | 9.64 Mn |
| Sep 30, 2021 | 10.70 Mn |
API Access
Maximus Interest 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=interest-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();