Reflect Scientific (RSCF) Amortization of Intangibles (2010 - 2024)
Reflect Scientific (RSCF) posted Amortizatization of Intangibles of $18,408 for Q3 2024, up 23.3% from $14,935 a year earlier and up 2.3% from the prior quarter.
Reflect Scientific (RSCF) Amortization of Intangibles (2010 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Amortizatization of Intangibles at Reflect Scientific was $71,337, up 21.9% year-over-year; for FY2023, it was $61,494, up 9.4% from FY2022.
- In prior years, Reflect Scientific's Amortizatization of Intangibles was $56,218 in FY2022 (-1.6%) and $57,158 in FY2021.
- The Q3 2024 figure stands as the highest quarterly Amortizatization of Intangibles since Q4 2012.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last seven quarters, with growth averaging 14.9% over the last seven quarters.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $17,999 (Q2 2024), $17,628 (Q1 2024) and $17,302 (Q4 2023).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 18,408.00 |
| Jun 30, 2024 | 17,999.00 |
| Mar 31, 2024 | 17,628.00 |
| Dec 31, 2023 | 17,302.00 |
| Sep 30, 2023 | 14,935.00 |
| Jun 30, 2023 | 14,728.00 |
| Mar 31, 2023 | 14,529.00 |
| Dec 31, 2022 | 14,333.00 |
| Sep 30, 2022 | 14,144.00 |
| Jun 30, 2022 | 13,870.00 |
| Mar 31, 2022 | 13,871.00 |
| Jun 30, 2016 | 863.00 |
| Mar 31, 2016 | 4,453.00 |
| Dec 31, 2015 | 5,760.00 |
| Sep 30, 2015 | 6,924.00 |
| Jun 30, 2015 | 7,668.00 |
| Mar 31, 2015 | 8,375.00 |
| Dec 31, 2014 | 9,785.00 |
| Sep 30, 2014 | 9,785.00 |
| Jun 30, 2014 | 9,786.00 |
Reflect Scientific Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=RSCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=RSCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();