Maximus (MMS) EBITDA (2009 - 2026)
Maximus (MMS) recorded EBITDA of $194.33 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.4% from $199.03 million a year earlier but up 6.9% from the prior quarter.
Powered by 
Analysis
Maximus (MMS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Maximus' EBITDA came in at $717.09 million as of Jun 30, 2026, up 10.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $664.79 million, up 7.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $617.56 million in FY2024 (+38.2%), $446.95 million in FY2023 (-3.2%), $461.71 million in FY2022 (-9.2%) and $508.62 million in FY2021 (+30.9%).
- Quarterly EBITDA has ranged from $86.57 million in fiscal Q3 2022 to $199.03 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 87.3% in fiscal Q3 2024, against a decline of 46.7% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $181.85 million (Q2 2026), $180.14 million (Q1 2026) and $160.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 711.62 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | 306.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | 256.13 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 327.51 Mn |
| 10 | Maximus | 3.44 Bn | 2.87 Bn | 348.80 Mn | 194.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.33 Mn |
| Mar 31, 2026 | 181.85 Mn |
| Dec 31, 2025 | 180.14 Mn |
| Sep 30, 2025 | 160.77 Mn |
| Jun 30, 2025 | 199.03 Mn |
| Mar 31, 2025 | 186.08 Mn |
| Dec 31, 2024 | 118.92 Mn |
| Sep 30, 2024 | 145.24 Mn |
| Jun 30, 2024 | 174.51 Mn |
| Mar 31, 2024 | 157.94 Mn |
| Dec 31, 2023 | 139.87 Mn |
| Sep 30, 2023 | 141.35 Mn |
| Jun 30, 2023 | 93.19 Mn |
| Mar 31, 2023 | 100.80 Mn |
| Dec 31, 2022 | 111.61 Mn |
| Sep 30, 2022 | 150.56 Mn |
| Jun 30, 2022 | 86.57 Mn |
| Mar 31, 2022 | 108.63 Mn |
| Dec 31, 2021 | 115.95 Mn |
| Sep 30, 2021 | 110.89 Mn |
API Access
Maximus EBITDA 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=ebitda&ticker=MMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();