Maximus (MMS) Amortization - Intangibles (2013 - 2026)
Maximus (MMS) posted Amortization - Intangibles of $20.19 million for 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) Amortization - Intangibles (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Maximus was $83.79 million, down 9.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $92.05 million, up 0.5% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior fiscal years, Maximus' Amortization - 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 stands as the lowest quarterly Amortization - Intangibles since fiscal Q3 2021.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last five quarters, with an average decline of 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q2 2022, with growth of 350.8%; the weakest was fiscal Q3 2026, with a decline of 12.3%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters 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) |
|---|---|---|---|---|
| 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 | 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 Amortization - 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=amortization-intangibles&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();