SEACOR Marine Holdings (SMHI) Total Non-Current Liabilities (2016 - 2026)
SEACOR Marine Holdings' Total Non-Current Liabilities came in at $380.41 million for Q2 2026, down 7.6% from $411.61 million a year earlier and down 2.2% from the prior quarter.
SEACOR Marine Holdings (SMHI) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, SEACOR Marine Holdings' Total Non-Current Liabilities was $18,000, up 50.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -82.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $12,000 in FY2024 and $65.9 million in FY2021 (-43.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $12,000 (Q4 2024) to $460.91 million (Q2 2022).
- Year-over-year, Total Non-Current Liabilities increased in four of the last seven quarters, with growth averaging 7.2%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 50.0%), and the weakest in Q4 2021 (a decline of 43.0%).
- Business Quant data shows SMHI's Total Non-Current Liabilities at $389.12 million (Q1 2026), $18,000 (Q4 2025) and $414.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 48.79 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 27.16 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 151.69 Mn |
| 10 | SEACOR Marine Holdings | 220.05 Mn | -33.64 Mn | 7.95 Mn | 380.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 380.41 Mn |
| Mar 31, 2026 | 389.12 Mn |
| Dec 31, 2025 | 18,000.00 |
| Sep 30, 2025 | 414.20 Mn |
| Jun 30, 2025 | 411.61 Mn |
| Mar 31, 2025 | 408.77 Mn |
| Dec 31, 2024 | 12,000.00 |
| Sep 30, 2024 | 383.02 Mn |
| Jun 30, 2024 | 382.18 Mn |
| Mar 31, 2024 | 393.70 Mn |
| Sep 30, 2023 | 412.47 Mn |
| Jun 30, 2023 | 415.16 Mn |
| Mar 31, 2023 | 432.24 Mn |
| Sep 30, 2022 | 451.33 Mn |
| Jun 30, 2022 | 460.91 Mn |
| Dec 31, 2021 | 65.90 Mn |
| Sep 30, 2021 | 444.33 Mn |
| Jun 30, 2021 | 456.83 Mn |
| Mar 31, 2021 | 559.75 Mn |
| Dec 31, 2020 | 115.63 Mn |
SEACOR Marine Holdings 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=SMHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SMHI", "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=SMHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();