Universal Technical Institute (UTI) Capital Leases (2013 - 2019)
Universal Technical Institute's Capital Leases came in at $39.16 million for fiscal Q4 2019 (quarter ended Sep 30, 2019), down 3.8% from $40.72 million a year earlier and down 1.0% from the prior quarter.
Universal Technical Institute (UTI) Capital Leases (2013 - 2019) Analysis & Trends
Going back to fiscal Q1 2014, Universal Technical Institute's Capital Leases data covers 24 quarters.
- Capital Leases has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 3.8% (FY2014 to FY2019).
- Going back by fiscal year, Capital Leases was $40.72 million in FY2018 (-3.1%), $42.04 million in FY2017 (-2.6%), $43.14 million in FY2016 (-2.1%) and $44.05 million in FY2015 (+35.6%).
- The fiscal Q4 2019 figure represents the lowest quarterly Capital Leases since fiscal Q3 2015.
- Year-over-year, Capital Leases has declined for 13 consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The fastest year-over-year change in Capital Leases over five years came in fiscal Q3 2016 (growth of 35.7%), and the weakest in fiscal Q4 2019 (a decline of 3.8%).
- Business Quant data shows UTI's Capital Leases at $39.57 million (Q3 2019), $39.96 million (Q2 2019) and $40.35 million (Q1 2019) in the three fiscal quarters before Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn |
| 10 | Universal Technical Institute | 1.13 Bn | 468.28 Mn | 100.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 39.16 Mn |
| Jun 30, 2019 | 39.57 Mn |
| Mar 31, 2019 | 39.96 Mn |
| Dec 31, 2018 | 40.35 Mn |
| Sep 30, 2018 | 40.72 Mn |
| Jun 30, 2018 | 41.06 Mn |
| Mar 31, 2018 | 41.40 Mn |
| Dec 31, 2017 | 41.72 Mn |
| Sep 30, 2017 | 42.04 Mn |
| Jun 30, 2017 | 42.33 Mn |
| Mar 31, 2017 | 42.61 Mn |
| Dec 31, 2016 | 42.88 Mn |
| Sep 30, 2016 | 43.14 Mn |
| Jun 30, 2016 | 43.38 Mn |
| Mar 31, 2016 | 43.61 Mn |
| Dec 31, 2015 | 43.84 Mn |
| Sep 30, 2015 | 44.05 Mn |
| Jun 30, 2015 | 31.96 Mn |
| Mar 31, 2015 | 32.14 Mn |
| Dec 31, 2014 | 32.32 Mn |
Universal Technical Institute Capital Leases 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=capital-leases&ticker=UTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "ticker": "UTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-leases&ticker=UTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();