Maximus (MMS) Operating Expenses (2009 - 2026)
Maximus' Operating Expenses was $167.19 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.1% from $170.83 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Maximus (MMS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maximus' Operating Expenses was $680.51 million through Jun 30, 2026, down 1.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $713.11 million, up 6.2% from FY2024.
- Operating Expenses has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $671.58 million in FY2024 (+5.1%), $639.22 million in FY2023 (+19.6%), $534.49 million in FY2022 (+8.2%) and $494.09 million in FY2021 (+27.6%).
- Quarterly Operating Expenses has moved between $124.22 million (fiscal Q1 2022) and $191.74 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 1.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2023 (growth of 37.3%); the worst was fiscal Q1 2026 (a decline of 20.6%).
- Per Business Quant data, MMS's Operating Expenses in the three fiscal quarters before Q3 2026 was $173.48 million (Q2 2026), $152.16 million (Q1 2026) and $187.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Maximus | 2.73 Bn | 2.15 Bn | 348.80 Mn | 167.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.19 Mn |
| Mar 31, 2026 | 173.48 Mn |
| Dec 31, 2025 | 152.16 Mn |
| Sep 30, 2025 | 187.68 Mn |
| Jun 30, 2025 | 170.83 Mn |
| Mar 31, 2025 | 162.86 Mn |
| Dec 31, 2024 | 191.74 Mn |
| Sep 30, 2024 | 166.90 Mn |
| Jun 30, 2024 | 167.03 Mn |
| Mar 31, 2024 | 168.45 Mn |
| Dec 31, 2023 | 169.20 Mn |
| Sep 30, 2023 | 167.78 Mn |
| Jun 30, 2023 | 182.55 Mn |
| Mar 31, 2023 | 142.45 Mn |
| Dec 31, 2022 | 146.45 Mn |
| Sep 30, 2022 | 146.99 Mn |
| Jun 30, 2022 | 132.97 Mn |
| Mar 31, 2022 | 130.31 Mn |
| Dec 31, 2021 | 124.22 Mn |
| Sep 30, 2021 | 129.59 Mn |
API Access
Maximus Operating 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=operating-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();