Maximus (MMS) Cost of Revenue (2009 - 2026)
Maximus (MMS) recorded Cost of Revenue of $930.17 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 5.9% from $988.89 million a year earlier and down 3.5% from the prior quarter.
Maximus (MMS) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Maximus' Cost of Revenue came in at $3.91 billion as of Jun 30, 2026, down 5.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $4.1 billion, up 1.1% from FY2024.
- Annual Cost of Revenue has increased for seven straight fiscal years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $4.05 billion in FY2024 (+4.6%), $3.88 billion in FY2023 (+5.0%), $3.69 billion in FY2022 (+11.6%) and $3.31 billion in FY2021 (+20.2%).
- The fiscal Q3 2026 figure is the lowest quarterly Cost of Revenue since fiscal Q3 2023.
- On a year-over-year basis, Cost of Revenue has declined for four consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 30.2% in fiscal Q2 2022, against a decline of 6.8% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $963.7 million (Q2 2026), $1.03 billion (Q1 2026) and $984.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Maximus | 2.76 Bn | 2.18 Bn | 348.80 Mn | 930.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 930.17 Mn |
| Mar 31, 2026 | 963.70 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 984.86 Mn |
| Jun 30, 2025 | 988.89 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 982.62 Mn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 969.06 Mn |
| Jun 30, 2023 | 924.31 Mn |
| Mar 31, 2023 | 978.25 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 904.05 Mn |
| Jun 30, 2022 | 915.56 Mn |
| Mar 31, 2022 | 948.88 Mn |
| Dec 31, 2021 | 922.72 Mn |
| Sep 30, 2021 | 887.73 Mn |
Maximus Cost of Revenue 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=cost-of-revenue&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();