SEACOR Marine Holdings (SMHI) Total Liabilities (2016 - 2026)
SEACOR Marine Holdings (SMHI) posted Total Liabilities of $381.01 million for Q2 2026, down 7.6% from $412.23 million a year earlier and down 3.0% from the prior quarter.
SEACOR Marine Holdings (SMHI) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, SEACOR Marine Holdings' Total Liabilities came in at $395.93 million, down 7.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -8.5% (FY2020 to FY2025).
- In prior years, SEACOR Marine Holdings' Total Liabilities was $428.79 million in FY2024 (+5.6%), $406.11 million in FY2023 (-6.9%), $436.22 million in FY2022 (-6.4%) and $465.96 million in FY2021 (-24.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2025, with growth of 7.9%; the weakest was Q3 2021, with a decline of 27.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $392.91 million (Q1 2026), $395.93 million (Q4 2025) and $414.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 50.54 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 10.09 Bn |
| 10 | SEACOR Marine Holdings | 224.12 Mn | -29.57 Mn | 7.95 Mn | 381.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.01 Mn |
| Mar 31, 2026 | 392.91 Mn |
| Dec 31, 2025 | 395.93 Mn |
| Sep 30, 2025 | 414.84 Mn |
| Jun 30, 2025 | 412.23 Mn |
| Mar 31, 2025 | 410.13 Mn |
| Dec 31, 2024 | 428.79 Mn |
| Sep 30, 2024 | 384.44 Mn |
| Jun 30, 2024 | 383.63 Mn |
| Mar 31, 2024 | 395.98 Mn |
| Dec 31, 2023 | 406.11 Mn |
| Sep 30, 2023 | 414.69 Mn |
| Jun 30, 2023 | 417.34 Mn |
| Mar 31, 2023 | 434.51 Mn |
| Dec 31, 2022 | 436.22 Mn |
| Sep 30, 2022 | 454.02 Mn |
| Jun 30, 2022 | 463.61 Mn |
| Mar 31, 2022 | -348.64 Mn |
| Dec 31, 2021 | 465.96 Mn |
| Sep 30, 2021 | 447.26 Mn |
SEACOR Marine Holdings Total 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-liabilities&ticker=SMHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SMHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();