OMS Energy Technologies (OMSE) Interest Expenses (2023)
OMS Energy Technologies (OMSE) reported Interest Expenses of $404,000 for the year ended Mar 31, 2026, up 42.3% from $284,000 a year earlier.
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Analysis
OMS Energy Technologies (OMSE) Interest Expenses (2023) Analysis & Trends
Dating back to the year ended Mar 31, 2023, OMS Energy Technologies' Interest Expenses record includes 4 years.
- Interest Expenses has a three-year compound annual growth rate of -40.8% (years ended Mar 2023 to Mar 2026).
- Five-year annual Interest Expenses spans a low of $284,000 in the year ended Mar 31, 2025 and a high of $1.94 million in the year ended Mar 31, 2023.
- According to Business Quant data, Interest Expenses came in at $284,000 in the year ended Mar 31, 2025 (-69.0%), $915,000 in the year ended Mar 31, 2024 (-52.9%) and $1.94 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 128.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 10.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 21.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 36.20 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -20.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | OMS Energy Technologies | 193.57 Mn | -193.08 Mn | - | - |
API Access
OMS Energy Technologies Interest Expenses 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=interest-expenses&ticker=OMSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OMSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=OMSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();