Manitowoc (MTW) Total Non-Current Liabilities (2009 - 2026)
Manitowoc's Total Non-Current Liabilities was $643.1 million in Q2 2026, up 0.2% from $642.1 million a year earlier and up 4.2% from the prior quarter.
Manitowoc (MTW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Manitowoc came in at $631.4 million, up 15.7% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $545.6 million in FY2024 (+1.0%), $540.1 million in FY2023 (+1.9%), $529.9 million in FY2022 (-10.5%) and $591.8 million in FY2021 (+12.9%).
- Quarterly Total Non-Current Liabilities has moved between $520.7 million (Q1 2023) and $666.2 million (Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 11 straight quarters, with growth averaging 8.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 16.5%); the worst was Q4 2022 (a decline of 10.5%).
- Per Business Quant data, MTW's Total Non-Current Liabilities in the three quarters before Q2 2026 was $617.3 million (Q1 2026), $631.4 million (Q4 2025) and $666.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Manitowoc | 797.33 Mn | 506.13 Mn | 123.10 Mn | 643.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 643.10 Mn |
| Mar 31, 2026 | 617.30 Mn |
| Dec 31, 2025 | 631.40 Mn |
| Sep 30, 2025 | 666.20 Mn |
| Jun 30, 2025 | 642.10 Mn |
| Mar 31, 2025 | 557.40 Mn |
| Dec 31, 2024 | 545.60 Mn |
| Sep 30, 2024 | 608.00 Mn |
| Jun 30, 2024 | 577.00 Mn |
| Mar 31, 2024 | 552.40 Mn |
| Dec 31, 2023 | 540.10 Mn |
| Sep 30, 2023 | 530.70 Mn |
| Jun 30, 2023 | 537.20 Mn |
| Mar 31, 2023 | 520.70 Mn |
| Dec 31, 2022 | 529.90 Mn |
| Sep 30, 2022 | 559.80 Mn |
| Jun 30, 2022 | 538.10 Mn |
| Mar 31, 2022 | 564.90 Mn |
| Dec 31, 2021 | 591.80 Mn |
| Sep 30, 2021 | 609.70 Mn |
Manitowoc Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();