Maximus (MMS) Change in Accured Expenses (2009 - 2026)
Maximus (MMS) posted Change in Accured Expenses of -$6.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$2.37 million a year earlier.
Maximus (MMS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Maximus was -$17.14 million; for FY2025 (ended Sep 30, 2025), it came in at $12.23 million, down 68.0% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -31.3% (FY2020 to FY2025).
- In prior fiscal years, Maximus' Change in Accured Expenses was $38.25 million in FY2024 (+115.7%), $17.73 million in FY2023, -$32.72 million in FY2022 and $26.9 million in FY2021 (-66.3%).
- Quarterly Change in Accured Expenses has run from a low of -$100.7 million in fiscal Q1 2026 to a high of $62.59 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with an average decline of 8.6%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2023, with growth of 400.7%; the weakest was fiscal Q2 2026, with a decline of 39.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $27.27 million (Q2 2026), -$100.7 million (Q1 2026) and $62.59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Maximus | 2.76 Bn | 2.18 Bn | 348.80 Mn | -6.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.30 Mn |
| Mar 31, 2026 | 27.27 Mn |
| Dec 31, 2025 | -100.70 Mn |
| Sep 30, 2025 | 62.59 Mn |
| Jun 30, 2025 | -2.37 Mn |
| Mar 31, 2025 | 45.04 Mn |
| Dec 31, 2024 | -93.04 Mn |
| Sep 30, 2024 | 59.29 Mn |
| Jun 30, 2024 | -10.49 Mn |
| Mar 31, 2024 | 56.84 Mn |
| Dec 31, 2023 | -67.39 Mn |
| Sep 30, 2023 | 49.34 Mn |
| Jun 30, 2023 | -17.39 Mn |
| Mar 31, 2023 | 39.05 Mn |
| Dec 31, 2022 | -53.27 Mn |
| Sep 30, 2022 | 9.86 Mn |
| Jun 30, 2022 | -14.30 Mn |
| Mar 31, 2022 | 28.02 Mn |
| Dec 31, 2021 | -56.31 Mn |
| Sep 30, 2021 | -89.97 Mn |
Maximus Change in Accured Expenses 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=change-in-accured-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();