United Rentals, Inc. (URI) Accumulated Expenses (2010 - 2019)
United Rentals' Accumulated Expenses came in at $751 million for Q1 2019, up 86.8% from $402 million a year earlier and up 10.9% from the prior quarter.
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Analysis
United Rentals, Inc. (URI) Accumulated Expenses (2010 - 2019) Analysis & Trends
At the end of FY2018, United Rentals' Accumulated Expenses was $677 million, up 26.3% from FY2017.
- Accumulated Expenses carries a five-year compound annual growth rate of 11.7% (FY2013 to FY2018).
- Going back by year, Accumulated Expenses was $536 million in FY2017 (+55.8%), $344 million in FY2016 (-3.1%), $355 million in FY2015 (-38.3%) and $575 million in FY2014 (+47.4%).
- The Q1 2019 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 30.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2019 (growth of 86.8%), and the weakest in Q4 2015 (a decline of 38.3%).
- Business Quant data shows URI's Accumulated Expenses at $677 million (Q4 2018), $503 million (Q3 2018) and $470 million (Q2 2018) in the three quarters before Q1 2019.
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 751.00 Mn |
| Dec 31, 2018 | 677.00 Mn |
| Sep 30, 2018 | 503.00 Mn |
| Jun 30, 2018 | 470.00 Mn |
| Mar 31, 2018 | 402.00 Mn |
| Dec 31, 2017 | 536.00 Mn |
| Sep 30, 2017 | 467.00 Mn |
| Jun 30, 2017 | 408.00 Mn |
| Mar 31, 2017 | 358.00 Mn |
| Dec 31, 2016 | 344.00 Mn |
| Sep 30, 2016 | 402.00 Mn |
| Jun 30, 2016 | 323.00 Mn |
| Mar 31, 2016 | 349.00 Mn |
| Dec 31, 2015 | 355.00 Mn |
| Sep 30, 2015 | 403.00 Mn |
| Jun 30, 2015 | 309.00 Mn |
| Mar 31, 2015 | 497.00 Mn |
| Dec 31, 2014 | 575.00 Mn |
| Sep 30, 2014 | 572.00 Mn |
| Jun 30, 2014 | 500.00 Mn |
API Access
United Rentals, Inc. Accumulated 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=accumulated-expenses&ticker=URI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "URI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=URI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();