Manitowoc (MTW) Operating Expenses (2009 - 2026)
Manitowoc (MTW) reported Operating Expenses of $92 million for Q2 2026, up 3.1% from $89.2 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Manitowoc (MTW) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Manitowoc's Operating Expenses came in at $361.4 million, up 8.6% year-over-year; for FY2025, it came in at $350.9 million, up 8.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $323.2 million in FY2024 (-2.9%), $332.8 million in FY2023 (-27.3%), $457.5 million in FY2022 (+75.5%) and $260.7 million in FY2021 (+20.6%).
- Five-year quarterly Operating Expenses spans a low of $61.7 million in Q3 2021 and a high of $253 million in Q4 2022.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 4.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 226.0%); the low point was Q4 2023 (a decline of 64.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $92.2 million (Q1 2026), $93.1 million (Q4 2025) and $84.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 995.40 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Manitowoc | 805.25 Mn | 489.05 Mn | 121.80 Mn | 90.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.00 Mn |
| Jun 30, 2026 | 92.00 Mn |
| Mar 31, 2026 | 92.20 Mn |
| Dec 31, 2025 | 93.10 Mn |
| Sep 30, 2025 | 84.10 Mn |
| Jun 30, 2025 | 89.20 Mn |
| Mar 31, 2025 | 84.50 Mn |
| Dec 31, 2024 | 79.00 Mn |
| Sep 30, 2024 | 80.10 Mn |
| Jun 30, 2024 | 86.80 Mn |
| Mar 31, 2024 | 77.30 Mn |
| Dec 31, 2023 | 89.30 Mn |
| Sep 30, 2023 | 78.80 Mn |
| Jun 30, 2023 | 88.60 Mn |
| Mar 31, 2023 | 76.10 Mn |
| Dec 31, 2022 | 253.00 Mn |
| Sep 30, 2022 | 66.70 Mn |
| Jun 30, 2022 | 70.40 Mn |
| Mar 31, 2022 | 67.40 Mn |
| Dec 31, 2021 | 77.60 Mn |
API Access
Manitowoc 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=MTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MTW", "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=MTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();