Maximus (MMS) Amortizatization of Intangibles (2013 - 2026)
Maximus' Amortizatization of Intangibles was $20.19 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 12.3% from $23.01 million a year earlier and down 0.5% from the prior quarter.
Maximus (MMS) Amortizatization of Intangibles (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maximus' Amortizatization of Intangibles was $83.79 million through Jun 30, 2026, down 9.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $92.05 million, up 0.5% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In earlier fiscal years, Amortizatization of Intangibles was $91.57 million in FY2024 (-3.2%), $94.59 million in FY2023 (+4.6%), $90.47 million in FY2022 (+103.9%) and $44.36 million in FY2021 (+24.5%).
- The fiscal Q3 2026 figure marks the lowest quarterly Amortizatization of Intangibles since fiscal Q3 2021.
- Compared with a year earlier, Amortizatization of Intangibles has declined for five straight quarters, with an average decline of 4.7% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was fiscal Q2 2022 (growth of 350.8%); the worst was fiscal Q3 2026 (a decline of 12.3%).
- Per Business Quant data, MMS's Amortizatization of Intangibles in the three fiscal quarters before Q3 2026 was $20.3 million (Q2 2026), $20.3 million (Q1 2026) and $23.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 49.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 86.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 68.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Maximus | 2.76 Bn | 2.18 Bn | 348.80 Mn | 20.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.19 Mn |
| Mar 31, 2026 | 20.30 Mn |
| Dec 31, 2025 | 20.30 Mn |
| Sep 30, 2025 | 23.01 Mn |
| Jun 30, 2025 | 23.01 Mn |
| Mar 31, 2025 | 23.00 Mn |
| Dec 31, 2024 | 23.04 Mn |
| Sep 30, 2024 | 23.04 Mn |
| Jun 30, 2024 | 23.54 Mn |
| Mar 31, 2024 | 21.64 Mn |
| Dec 31, 2023 | 23.35 Mn |
| Sep 30, 2023 | 23.99 Mn |
| Jun 30, 2023 | 23.43 Mn |
| Mar 31, 2023 | 23.65 Mn |
| Dec 31, 2022 | 23.52 Mn |
| Sep 30, 2022 | 22.51 Mn |
| Jun 30, 2022 | 22.69 Mn |
| Mar 31, 2022 | 22.86 Mn |
| Dec 31, 2021 | 22.41 Mn |
| Sep 30, 2021 | 20.64 Mn |
Maximus Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();