Byrna Technologies (BYRN) Operating Expenses (2011 - 2026)
Byrna Technologies' Operating Expenses was $14.63 million in fiscal Q2 2026 (quarter ended May 31, 2026), up 2.7% from $14.24 million a year earlier but down 11.2% from the prior quarter.
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Analysis
Byrna Technologies (BYRN) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Byrna Technologies' Operating Expenses was $62.27 million through May 31, 2026, up 15.1% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $59.63 million, up 29.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $46.1 million in FY2024 (+46.6%), $31.44 million in FY2023 (-7.6%), $34.01 million in FY2022 (+29.9%) and $26.18 million in FY2021 (+121.6%).
- Quarterly Operating Expenses has moved between $6.69 million (fiscal Q3 2021) and $17.11 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 30.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2021 (growth of 149.1%); the worst was fiscal Q2 2023 (a decline of 17.7%).
- Per Business Quant data, BYRN's Operating Expenses in the three fiscal quarters before Q2 2026 was $16.47 million (Q1 2026), $17.11 million (Q4 2025) and $14.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Byrna Technologies | 74.21 Mn | 30.09 Mn | 1.78 Mn | 14.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 14.63 Mn |
| Feb 28, 2026 | 16.47 Mn |
| Nov 30, 2025 | 17.11 Mn |
| Aug 31, 2025 | 14.06 Mn |
| May 31, 2025 | 14.24 Mn |
| Feb 28, 2025 | 14.23 Mn |
| Nov 30, 2024 | 13.47 Mn |
| Aug 31, 2024 | 12.18 Mn |
| May 31, 2024 | 10.65 Mn |
| Feb 29, 2024 | 9.80 Mn |
| Nov 30, 2023 | 9.92 Mn |
| Aug 31, 2023 | 7.27 Mn |
| May 31, 2023 | 7.19 Mn |
| Feb 28, 2023 | 7.24 Mn |
| Nov 30, 2022 | 8.96 Mn |
| Aug 31, 2022 | 8.28 Mn |
| May 31, 2022 | 8.74 Mn |
| Feb 28, 2022 | 8.02 Mn |
| Nov 30, 2021 | 8.80 Mn |
| Aug 31, 2021 | 6.69 Mn |
API Access
Byrna Technologies Operating 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=operating-expenses&ticker=BYRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BYRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();