Reflect Scientific (RSCF) Inventory (2010 - 2024)
Reflect Scientific (RSCF) reported Inventory of $775,676 for Q3 2024, down 15.8% from $920,954 a year earlier and down 7.2% from the prior quarter.
Analysis
Reflect Scientific (RSCF) Inventory (2010 - 2024) Analysis & Trends
At the end of FY2023, Reflect Scientific posted Inventory of $972,293, up 21.9% from FY2022.
- Inventory has increased for three consecutive years, with a five-year compound annual growth rate of 30.9% (FY2018 to FY2023).
- By year, Inventory came in at $797,352 in FY2022 (+27.7%), $624,486 in FY2021 (+42.4%) and $438,606 in FY2020.
- The Q3 2024 figure ranks as the lowest quarterly Inventory since Q1 2022.
- Year over year, Inventory gained in six of the last eight quarters, with growth averaging 8.3%.
- The high point for year-over-year Inventory in five years was Q2 2022 (growth of 64.7%); the low point was Q3 2024 (a decline of 15.8%).
- Per Business Quant data, the three quarters before Q3 2024 came in at $835,667 (Q2 2024), $950,917 (Q1 2024) and $972,293 (Q4 2023).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 775,676.00 |
| Jun 30, 2024 | 835,667.00 |
| Mar 31, 2024 | 950,917.00 |
| Dec 31, 2023 | 972,293.00 |
| Sep 30, 2023 | 920,954.00 |
| Jun 30, 2023 | 877,086.00 |
| Mar 31, 2023 | 850,620.00 |
| Dec 31, 2022 | 797,352.00 |
| Sep 30, 2022 | 904,076.00 |
| Jun 30, 2022 | 863,155.00 |
| Mar 31, 2022 | 695,607.00 |
| Dec 31, 2021 | 624,486.00 |
| Sep 30, 2021 | 585,057.00 |
| Jun 30, 2021 | 524,081.00 |
| Dec 31, 2020 | 438,606.00 |
| Sep 30, 2019 | 182,724.00 |
| Jun 30, 2019 | 162,593.00 |
| Mar 31, 2019 | 155,035.00 |
| Dec 31, 2018 | 252,851.00 |
| Sep 30, 2018 | 142,810.00 |
API Access
Reflect Scientific Inventory 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=inventory&ticker=RSCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "RSCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=RSCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();