Manitowoc (MTW) Cost of Revenue (2009 - 2026)
Manitowoc (MTW) recorded Cost of Revenue of $471.8 million in Q2 2026, up 7.1% from $440.5 million a year earlier and up 18.2% from the prior quarter.
Manitowoc (MTW) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Manitowoc's Cost of Revenue came in at $1.89 billion as of Jun 30, 2026, up 7.2% year-over-year; for FY2025, it was $1.84 billion, up 1.8% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $1.8 billion in FY2024 (unchanged), $1.8 billion in FY2023 (+8.1%), $1.67 billion in FY2022 (+18.0%) and $1.41 billion in FY2021 (+18.9%).
- Quarterly Cost of Revenue has ranged from $335.5 million in Q3 2021 to $563.8 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for four consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 30.8% in Q1 2022, against a decline of 5.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $399.3 million (Q1 2026), $563.8 million (Q4 2025) and $450.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Manitowoc | 837.00 Mn | 545.80 Mn | 123.10 Mn | 471.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 471.80 Mn |
| Mar 31, 2026 | 399.30 Mn |
| Dec 31, 2025 | 563.80 Mn |
| Sep 30, 2025 | 450.80 Mn |
| Jun 30, 2025 | 440.50 Mn |
| Mar 31, 2025 | 381.10 Mn |
| Dec 31, 2024 | 500.80 Mn |
| Sep 30, 2024 | 437.20 Mn |
| Jun 30, 2024 | 462.40 Mn |
| Mar 31, 2024 | 402.60 Mn |
| Dec 31, 2023 | 496.70 Mn |
| Sep 30, 2023 | 424.10 Mn |
| Jun 30, 2023 | 479.80 Mn |
| Mar 31, 2023 | 402.00 Mn |
| Dec 31, 2022 | 505.10 Mn |
| Sep 30, 2022 | 380.40 Mn |
| Jun 30, 2022 | 408.50 Mn |
| Mar 31, 2022 | 374.00 Mn |
| Dec 31, 2021 | 418.40 Mn |
| Sep 30, 2021 | 335.50 Mn |
Manitowoc 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=MTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();