Maximus (MMS) EBITDA (2009 - 2026)
Maximus (MMS) recorded EBITDA of $193.49 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.4% from $198.29 million a year earlier but up 6.8% from the prior quarter.
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Analysis
Maximus (MMS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Maximus' EBITDA came in at $714.04 million as of Jun 30, 2026, up 10.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $662.01 million, up 7.8% 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 $614.03 million in FY2024 (+38.3%), $444.11 million in FY2023 (-3.2%), $458.69 million in FY2022 (-8.1%) and $499.25 million in FY2021 (+28.5%).
- Quarterly EBITDA has ranged from $85.92 million in fiscal Q3 2022 to $198.29 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 9.7%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 86.6% in fiscal Q3 2024, against a decline of 47.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $181.11 million (Q2 2026), $179.4 million (Q1 2026) and $160.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Maximus | 2.73 Bn | 2.15 Bn | 348.80 Mn | 193.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.49 Mn |
| Mar 31, 2026 | 181.11 Mn |
| Dec 31, 2025 | 179.40 Mn |
| Sep 30, 2025 | 160.04 Mn |
| Jun 30, 2025 | 198.29 Mn |
| Mar 31, 2025 | 185.40 Mn |
| Dec 31, 2024 | 118.28 Mn |
| Sep 30, 2024 | 144.61 Mn |
| Jun 30, 2024 | 172.81 Mn |
| Mar 31, 2024 | 157.34 Mn |
| Dec 31, 2023 | 139.27 Mn |
| Sep 30, 2023 | 140.75 Mn |
| Jun 30, 2023 | 92.59 Mn |
| Mar 31, 2023 | 100.20 Mn |
| Dec 31, 2022 | 110.58 Mn |
| Sep 30, 2022 | 149.49 Mn |
| Jun 30, 2022 | 85.92 Mn |
| Mar 31, 2022 | 107.98 Mn |
| Dec 31, 2021 | 115.30 Mn |
| Sep 30, 2021 | 101.51 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();