Maximus (MMS) Non Operating Interest Expenses (2015 - 2026)
Maximus' Non Operating Interest Expenses was $23.88 million in 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.
Maximus (MMS) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maximus' Non Operating Interest Expenses was $89.24 million through Jun 30, 2026, up 9.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $84.08 million, up 2.0% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 110.0% (FY2020 to FY2025).
- In earlier fiscal years, Non Operating 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 marks the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q3 2015.
- Compared with a year earlier, Non Operating Interest Expenses has increased for six straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q3 2022 (growth of 249.6%); the worst was fiscal Q1 2025 (a decline of 18.5%).
- Per Business Quant data, MMS's Non Operating Interest Expenses in the three fiscal quarters before Q3 2026 was $22.11 million (Q2 2026), $20.82 million (Q1 2026) and $22.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 103.82 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 45.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 6.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 79.86 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 23.64 Mn |
| 10 | Maximus | 3.46 Bn | 2.89 Bn | 348.80 Mn | 23.88 Mn |
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 |
Maximus Non Operating 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=non-operating-interest-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();