Workhorse Group Inc. (WKHS) Rent Expense (2010 - 2013)
Workhorse (WKHS) posted Rent Expense of $38,207 for Q4 2013, up 4.1% from $36,694 a year earlier and up 9.7% from the prior quarter.
Analysis
Workhorse Group Inc. (WKHS) Rent Expense (2010 - 2013) Analysis & Trends
For FY2013, Workhorse's Rent Expense came in at $149,436, up 0.6% from FY2012.
- Annual Rent Expense has increased for three consecutive years, with a three-year compound annual growth rate of 14.1% (FY2010 to FY2013).
- In prior years, Workhorse's Rent Expense was $148,569 in FY2012 (+6.2%), $139,894 in FY2011 (+39.1%) and $100,585 in FY2010.
- Quarterly Rent Expense has run from a low of $25,500 in Q2 2010 to a high of $48,931 in Q4 2011 over five years.
- On a year-over-year basis, Rent Expense increased in five of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q4 2011, with growth of 91.9%; the weakest was Q4 2012, with a decline of 25.0%.
- According to Business Quant data, Rent Expense for the three prior quarters was $34,841 (Q3 2013), $36,694 (Q2 2013) and $39,694 (Q1 2013).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 38,207.00 |
| Sep 30, 2013 | 34,841.00 |
| Jun 30, 2013 | 36,694.00 |
| Mar 31, 2013 | 39,694.00 |
| Dec 31, 2012 | 36,694.00 |
| Sep 30, 2012 | 34,903.00 |
| Jun 30, 2012 | 38,625.00 |
| Mar 31, 2012 | 38,347.00 |
| Dec 31, 2011 | 48,931.00 |
| Sep 30, 2011 | 34,713.00 |
| Jun 30, 2011 | 28,200.00 |
| Mar 31, 2011 | 28,050.00 |
| Dec 31, 2010 | 25,500.00 |
| Sep 30, 2010 | 25,500.00 |
| Jun 30, 2010 | 25,500.00 |
API Access
Workhorse Group Inc. Rent Expense 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=rent-expense&ticker=WKHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "WKHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=rent-expense&ticker=WKHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();