SEACOR Marine Holdings (SMHI) Cash & Equivalents (2016 - 2026)
SEACOR Marine Holdings (SMHI) recorded Cash & Equivalents of $55.4 million in Q2 2026, up 61.1% from $34.38 million a year earlier and up 43.1% from the prior quarter.
SEACOR Marine Holdings (SMHI) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, SEACOR Marine Holdings reported Cash & Equivalents of $68.93 million, up 15.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $59.49 million in FY2024 (-11.8%), $67.46 million in FY2023 (+68.8%), $39.96 million in FY2022 (+6.2%) and $37.62 million in FY2021 (+15.2%).
- Quarterly Cash & Equivalents has ranged from $22.61 million in Q2 2022 to $90.95 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 16.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 155.5% in Q3 2025, against a decline of 50.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.72 million (Q1 2026), $68.93 million (Q4 2025) and $90.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | SEACOR Marine Holdings | 224.39 Mn | -29.30 Mn | 7.95 Mn | 55.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.40 Mn |
| Mar 31, 2026 | 38.72 Mn |
| Dec 31, 2025 | 68.93 Mn |
| Sep 30, 2025 | 90.95 Mn |
| Jun 30, 2025 | 34.38 Mn |
| Mar 31, 2025 | 42.99 Mn |
| Dec 31, 2024 | 59.49 Mn |
| Sep 30, 2024 | 35.60 Mn |
| Jun 30, 2024 | 40.61 Mn |
| Mar 31, 2024 | 59.59 Mn |
| Dec 31, 2023 | 67.46 Mn |
| Sep 30, 2023 | 55.84 Mn |
| Jun 30, 2023 | 40.75 Mn |
| Mar 31, 2023 | 40.57 Mn |
| Dec 31, 2022 | 39.96 Mn |
| Sep 30, 2022 | 47.51 Mn |
| Jun 30, 2022 | 22.61 Mn |
| Dec 31, 2021 | 37.62 Mn |
| Sep 30, 2021 | 42.19 Mn |
| Jun 30, 2021 | 45.45 Mn |
SEACOR Marine Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=SMHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SMHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();