Mcgrath Rentcorp (MGRC) Return on Sales [ROS] (2010 - 2026)
Mcgrath Rentcorp's Return on Sales [ROS] came in at 24.10% for Q2 2026, down 0.17 percentage points from 24.26% a year earlier but up 2.24 percentage points from the prior quarter.
Mcgrath Rentcorp (MGRC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mcgrath Rentcorp reported Return on Sales [ROS] of 25.47%, down 0.08 percentage points year-over-year; for FY2025, it came in at 25.80%, down 1.01 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.22 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 26.81% in FY2024 (+4.01 pp), 22.81% in FY2023 (-0.37 pp), 23.17% in FY2022 (-0.07 pp) and 23.24% in FY2021 (-1.34 pp).
- The five-year range for quarterly Return on Sales [ROS] is 12.14% (Q1 2023) to 37.17% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.62 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 15.59 percentage points), and the weakest in Q4 2022 (a drop of 10.47 percentage points).
- Business Quant data shows MGRC's Return on Sales [ROS] at 21.86% (Q1 2026), 28.89% (Q4 2025) and 26.02% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.92 Bn | 68.04 Bn | 2.05 Bn | 28.80% |
| 2 | W.W. Grainger | 64.06 Bn | 62.04 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 60.50 Bn | 59.49 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 44.11 Bn | 41.32 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 32.31 Bn | 32.19 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.38 Bn | 20.42 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 15.77 Bn | 13.08 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 11.75 Bn | 11.63 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 11.64 Bn | 9.81 Bn | 578.93 Mn | 11.32% |
| 10 | Mcgrath Rentcorp | 2.85 Bn | 2.84 Bn | 107.91 Mn | 24.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.10% |
| Mar 31, 2026 | 21.86% |
| Dec 31, 2025 | 28.89% |
| Sep 30, 2025 | 26.02% |
| Jun 30, 2025 | 24.26% |
| Mar 31, 2025 | 23.32% |
| Dec 31, 2024 | 25.88% |
| Sep 30, 2024 | 28.00% |
| Jun 30, 2024 | 25.59% |
| Mar 31, 2024 | 27.73% |
| Dec 31, 2023 | 25.13% |
| Sep 30, 2023 | 27.34% |
| Jun 30, 2023 | 23.44% |
| Mar 31, 2023 | 12.14% |
| Dec 31, 2022 | 26.70% |
| Sep 30, 2022 | 22.88% |
| Jun 30, 2022 | 21.61% |
| Mar 31, 2022 | 20.34% |
| Dec 31, 2021 | 37.17% |
| Sep 30, 2021 | 20.72% |
Mcgrath Rentcorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MGRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MGRC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MGRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();