Byrna Technologies (BYRN) Amortization - Intangibles (2018 - 2020)
Byrna Technologies' Amortization - Intangibles came in at $16,218 for fiscal Q2 2020 (quarter ended May 31, 2020), up 784.8% from $1,833 a year earlier and unchanged from the prior quarter.
Byrna Technologies (BYRN) Amortization - Intangibles (2018 - 2020) Analysis & Trends
Over the trailing twelve months to May 31, 2020, Byrna Technologies reported Amortization - Intangibles of $36,102, up 392.4% year-over-year; for FY2019 (ended Nov 30, 2019), it was $7,332, up 100.0% from FY2018.
- Going back by fiscal year, Amortization - Intangibles was $3,666 in FY2018.
- Year-over-year, Amortization - Intangibles increased in two of the last four quarters, with growth averaging 392.4%.
- Business Quant data shows BYRN's Amortization - Intangibles at $16,218 (Q1 2020), $1,833 (Q4 2019) and $1,833 (Q3 2019) in the three fiscal quarters before Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Byrna Technologies | 74.21 Mn | 30.09 Mn | 1.78 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2020 | 16,218.00 |
| Feb 29, 2020 | 16,218.00 |
| Nov 30, 2019 | 1,833.00 |
| Aug 31, 2019 | 1,833.00 |
| May 31, 2019 | 1,833.00 |
| Feb 28, 2019 | 1,833.00 |
| Nov 30, 2018 | 1,833.00 |
| Aug 31, 2018 | 1,833.00 |
Byrna Technologies Amortization - 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=amortization-intangibles&ticker=BYRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "BYRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=BYRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();