Novanta (NOVTU) Accumulated Expenses (2013 - 2017)
Novanta's Accumulated Expenses came in at $440,000 for Q4 2017, down 67.9% from $1.37 million a year earlier and down 23.5% from the prior quarter.
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Analysis
Novanta (NOVTU) Accumulated Expenses (2013 - 2017) Analysis & Trends
Going back to Q4 2013, Novanta's Accumulated Expenses data covers 15 quarters.
- Accumulated Expenses has declined in each of the last four years, with a four-year compound annual growth rate of -62.5% (FY2013 to FY2017).
- Going back by year, Accumulated Expenses was $1.37 million in FY2016 (-17.0%), $1.65 million in FY2015 (-91.5%), $19.4 million in FY2014 (-13.0%) and $22.29 million in FY2013.
- The Q4 2017 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2013.
- Year-over-year, Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 61.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2015 (growth of 14.8%), and the weakest in Q1 2017 (a decline of 95.7%).
- Business Quant data shows NOVTU's Accumulated Expenses at $575,000 (Q3 2017), $782,000 (Q2 2017) and $1.03 million (Q1 2017) in the three quarters before Q4 2017.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 440,000.00 |
| Sep 29, 2017 | 575,000.00 |
| Jun 30, 2017 | 782,000.00 |
| Mar 31, 2017 | 1.03 Mn |
| Dec 31, 2016 | 1.37 Mn |
| Sep 30, 2016 | 1.85 Mn |
| Jul 1, 2016 | 3.03 Mn |
| Apr 1, 2016 | 24.27 Mn |
| Dec 31, 2015 | 1.65 Mn |
| Oct 2, 2015 | 21.89 Mn |
| Jul 3, 2015 | 22.04 Mn |
| Apr 3, 2015 | 21.52 Mn |
| Dec 31, 2014 | 19.40 Mn |
| Sep 26, 2014 | 19.08 Mn |
| Dec 31, 2013 | 22.29 Mn |
API Access
Novanta 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=NOVTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NOVTU", "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=NOVTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();