Cactus (WHD) Interest Expenses (2017 - 2018)
Cactus' Interest Expenses came in at $225,000 for Q4 2018, down 95.8% from $5.32 million a year earlier and down 16.7% from the prior quarter.
Analysis
Cactus (WHD) Interest Expenses (2017 - 2018) Analysis & Trends
For FY2018, Cactus' Interest Expenses was $3.6 million, down 82.7% from FY2017.
- Going back by year, Interest Expenses was $20.77 million in FY2017 (+2.6%) and $20.23 million in FY2016.
- The Q4 2018 figure represents the lowest quarterly Interest Expenses in data going back to Q1 2017.
- Year-over-year, Interest Expenses has declined for four consecutive quarters, with an average decline of 82.2% over the last four quarters.
- Business Quant data shows WHD's Interest Expenses at $270,000 (Q3 2018), $248,000 (Q2 2018) and $2.85 million (Q1 2018) in the three quarters before Q4 2018.
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 | Cactus | 4.33 Bn | 3.35 Bn | 149.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 225,000.00 |
| Sep 30, 2018 | 270,000.00 |
| Jun 30, 2018 | 248,000.00 |
| Mar 31, 2018 | 2.85 Mn |
| Dec 31, 2017 | 5.32 Mn |
| Sep 30, 2017 | 5.28 Mn |
| Jun 30, 2017 | 5.19 Mn |
| Mar 31, 2017 | 4.99 Mn |
API Access
Cactus 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=WHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "WHD", "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=WHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();