QHSLab (USAQ) Accumulated Expenses (2013 - 2019)
QHSLab (USAQ) recorded Accumulated Expenses of $91,607 in Q4 2019, down 4.1% from $95,568 a year earlier but up 2.5% from the prior quarter.
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Analysis
QHSLab (USAQ) Accumulated Expenses (2013 - 2019) Analysis & Trends
Starting with Q4 2013, QHSLab's Accumulated Expenses history includes 19 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 12.7% (FY2014 to FY2019).
- Across earlier years, Accumulated Expenses came in at $95,568 in FY2018 (+13.3%), $84,316 in FY2017 (+15.4%), $73,065 in FY2016 (+18.3%) and $61,783 in FY2015 (+22.8%).
- Quarterly Accumulated Expenses has ranged from $61,783 in Q4 2015 to $101,147 in Q2 2019 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 9.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 22.8% in Q4 2015, against a decline of 4.1% in Q4 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $89,408 (Q3 2019), $101,147 (Q2 2019) and $98,342 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn |
| 10 | QHSLab | 4.81 Mn | 3.49 Mn | 470,803.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 91,607.00 |
| Sep 30, 2019 | 89,408.00 |
| Jun 30, 2019 | 101,147.00 |
| Mar 31, 2019 | 98,342.00 |
| Dec 31, 2018 | 95,568.00 |
| Sep 30, 2018 | 92,731.00 |
| Jun 30, 2018 | 89,895.00 |
| Mar 31, 2018 | 87,090.00 |
| Dec 31, 2017 | 84,316.00 |
| Sep 30, 2017 | 81,480.00 |
| Jun 30, 2017 | 78,644.00 |
| Mar 31, 2017 | 75,839.00 |
| Dec 31, 2016 | 73,065.00 |
| Sep 30, 2016 | 70,229.00 |
| Jun 30, 2016 | 67,393.00 |
| Dec 31, 2015 | 61,783.00 |
| Dec 31, 2014 | 50,310.00 |
| Sep 30, 2014 | 47,406.00 |
| Dec 31, 2013 | 38,760.00 |
API Access
QHSLab 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=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "USAQ", "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=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();