QHSLab (USAQ) Change in Accured Expenses (2010 - 2022)
QHSLab's Change in Accured Expenses came in at $20,137 for Q4 2022, down 3.9% from $20,963 a year earlier but up 27.3% from the prior quarter.
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Analysis
QHSLab (USAQ) Change in Accured Expenses (2010 - 2022) Analysis & Trends
For FY2022, QHSLab's Change in Accured Expenses was $59,255, up 15.1% from FY2021.
- Change in Accured Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 39.4% (FY2017 to FY2022).
- Going back by year, Change in Accured Expenses was $51,498 in FY2021 (+71.6%), $30,017 in FY2020 (+47.1%), $20,404 in FY2019 (+81.3%) and $11,252 in FY2018 (unchanged).
- The five-year range for quarterly Change in Accured Expenses is -$6,491 (Q3 2018) to $20,963 (Q4 2021).
- Year-over-year, Change in Accured Expenses increased in four of the last seven quarters, with growth averaging 29.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2018 (growth of 336.5%), and the weakest in Q2 2019 (a decline of 89.7%).
- Business Quant data shows USAQ's Change in Accured Expenses at $15,823 (Q3 2022), $15,935 (Q2 2022) and $7,360 (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 52.40 Bn | 24.65 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 26.20 Bn | 22.97 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn | 133.18 Mn |
| 5 | Toast | 18.79 Bn | 11.46 Bn | 516.00 Mn | 57.00 Mn |
| 6 | Trimble | 14.79 Bn | 13.85 Bn | 674.90 Mn | 42.10 Mn |
| 7 | Manhattan Associates | 13.95 Bn | 12.94 Bn | 168.33 Mn | 20.69 Mn |
| 8 | Costar | 13.71 Bn | 7.66 Bn | 728.00 Mn | 33.00 Mn |
| 9 | Bentley Systems | 12.37 Bn | 11.82 Bn | 336.74 Mn | 5.81 Mn |
| 10 | QHSLab | 3.42 Mn | 2.40 Mn | 488,259.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 20,137.00 |
| Sep 30, 2022 | 15,823.00 |
| Jun 30, 2022 | 15,935.00 |
| Mar 31, 2022 | 7,360.00 |
| Dec 31, 2021 | 20,963.00 |
| Sep 30, 2021 | 12,650.00 |
| Jun 30, 2021 | 913.00 |
| Mar 31, 2021 | 16,972.00 |
| Dec 31, 2020 | 10,988.00 |
| Sep 30, 2020 | 6,440.00 |
| Jun 30, 2020 | 5,373.00 |
| Mar 31, 2020 | 7,216.00 |
| Dec 31, 2019 | 12,055.00 |
| Sep 30, 2019 | 2,770.00 |
| Jun 30, 2019 | 268.00 |
| Mar 31, 2019 | 5,311.00 |
| Dec 31, 2018 | 12,379.00 |
| Sep 30, 2018 | -6,491.00 |
| Jun 30, 2018 | 2,590.00 |
| Mar 31, 2018 | 2,774.00 |
API Access
QHSLab Change in Accured 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=change-in-accured-expenses&ticker=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();