Maximus (MMS) Price to Earnings (2010 - 2026)
Maximus' (MMS) Price to Earnings stood at 7.59 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 39.3% from 12.51 a year earlier and down 16.8% from the prior quarter.
Maximus (MMS) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Maximus' Price to Earnings came in at 15.70, down 14.3% from FY2024.
- Across earlier fiscal years, Price to Earnings came in at 18.32 in FY2024 (-34.9%), 28.16 in FY2023 (+63.2%), 17.25 in FY2022 (-2.5%) and 17.70 in FY2021 (-9.8%).
- The fiscal Q3 2026 figure is the lowest quarterly Price to Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Price to Earnings has declined for ten consecutive quarters, with an average decline of 31.1% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 63.2% in fiscal Q4 2023, against a decline of 45.3% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.12 (Q2 2026), 12.67 (Q1 2026) and 15.70 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - |
| 10 | Maximus | 3.32 Bn | 2.75 Bn | 348.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.59 |
| Mar 31, 2026 | 9.12 |
| Dec 31, 2025 | 12.67 |
| Sep 30, 2025 | 15.70 |
| Jun 30, 2025 | 12.51 |
| Mar 31, 2025 | 12.81 |
| Dec 31, 2024 | 15.06 |
| Sep 30, 2024 | 18.32 |
| Jun 30, 2024 | 17.64 |
| Mar 31, 2024 | 21.82 |
| Dec 31, 2023 | 27.52 |
| Sep 30, 2023 | 28.16 |
| Jun 30, 2023 | 29.92 |
| Mar 31, 2023 | 27.78 |
| Dec 31, 2022 | 23.39 |
| Sep 30, 2022 | 17.25 |
| Jun 30, 2022 | 20.38 |
| Mar 31, 2022 | 18.48 |
| Dec 31, 2021 | 17.59 |
| Sep 30, 2021 | 17.70 |
Maximus Price to Earnings 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=price-to-earnings&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();