Mcgrath Rentcorp (MGRC) Operating Expenses (2010 - 2026)
Mcgrath Rentcorp's Operating Expenses came in at $79.66 million for Q2 2026, up 6.3% from $74.97 million a year earlier and up 4.5% from the prior quarter.
Mcgrath Rentcorp (MGRC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mcgrath Rentcorp reported Operating Expenses of $306.81 million, up 5.1% year-over-year; for FY2025, it came in at $298.29 million, up 3.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $288.7 million in FY2024 (-2.6%), $296.45 million in FY2023 (+32.7%), $223.34 million in FY2022 (+12.5%) and $198.5 million in FY2021 (-5.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 185.3%), and the weakest in Q4 2021 (a decline of 58.7%).
- Business Quant data shows MGRC's Operating Expenses at $76.2 million (Q1 2026), $76.54 million (Q4 2025) and $74.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.56 Bn | 64.32 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 62.94 Bn | 60.53 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.44 Bn | 58.36 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 44.02 Bn | 41.23 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.57 Bn | 31.45 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.31 Bn | 20.35 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.85 Bn | 14.17 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.44 Bn | 12.31 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.51 Bn | 9.20 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Mcgrath Rentcorp | 2.77 Bn | 2.76 Bn | 107.91 Mn | 79.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.66 Mn |
| Mar 31, 2026 | 76.20 Mn |
| Dec 31, 2025 | 76.54 Mn |
| Sep 30, 2025 | 74.41 Mn |
| Jun 30, 2025 | 74.97 Mn |
| Mar 31, 2025 | 72.37 Mn |
| Dec 31, 2024 | 73.42 Mn |
| Sep 30, 2024 | 71.28 Mn |
| Jun 30, 2024 | 71.17 Mn |
| Mar 31, 2024 | 72.83 Mn |
| Dec 31, 2023 | 76.92 Mn |
| Sep 30, 2023 | 70.58 Mn |
| Jun 30, 2023 | 69.62 Mn |
| Mar 31, 2023 | 79.33 Mn |
| Dec 31, 2022 | 59.85 Mn |
| Sep 30, 2022 | 57.13 Mn |
| Jun 30, 2022 | 53.89 Mn |
| Mar 31, 2022 | 52.47 Mn |
| Dec 31, 2021 | 20.98 Mn |
| Sep 30, 2021 | 63.71 Mn |
Mcgrath Rentcorp Operating 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=operating-expenses&ticker=MGRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MGRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();