OMS Energy Technologies (OMSE) Non Operating Interest Expenses (2023)
OMS Energy Technologies (OMSE) recorded Non Operating Interest Expenses of $404,000 in the year ended Mar 31, 2026, up 42.3% from $284,000 a year earlier.
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Analysis
OMS Energy Technologies (OMSE) Non Operating Interest Expenses (2023) Analysis & Trends
Starting with the year ended Mar 31, 2023, OMS Energy Technologies' Non Operating Interest Expenses history includes 4 years.
- Annual Non Operating Interest Expenses has a three-year compound annual growth rate of -40.8% (years ended Mar 2023 to Mar 2026).
- Annual Non Operating Interest Expenses has ranged from $284,000 in the year ended Mar 31, 2025 to $1.94 million in the year ended Mar 31, 2023 over the past five years.
- Per Business Quant data, OMSE's Non Operating Interest Expenses was $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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=OMSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=OMSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();