Axil Brands (AXIL) Price to Earnings (2024 - 2026)
Axil Brands' (AXIL) Price to Earnings came in at 16.26 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 43.6% from 28.80 a year earlier and down 4.1% from the prior quarter.
Axil Brands (AXIL) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Axil Brands' Price to Earnings stood at 16.96, down 64.6% from FY2025.
- In prior fiscal years, Axil Brands' Price to Earnings was 47.89 in FY2025 (+211.2%) and 15.39 in FY2024.
- The fiscal Q1 2027 figure stands as the lowest quarterly Price to Earnings in data going back to fiscal Q3 2024.
- On a year-over-year basis, Price to Earnings has declined in each of the last three quarters, with growth averaging 16.8% over the last seven quarters.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 16.96 (Q4 2026), 46.52 (Q3 2026) and 25.32 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.06 Bn | 25.73 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.61 Bn | 13.15 Bn | 817.20 Mn |
| 3 | Hni | 3.42 Bn | 2.99 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn |
| 5 | Sonos | 2.10 Bn | 995.00 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.83 Bn | -1.64 Bn | 442.00 Mn |
| 7 | Arhaus | 1.65 Bn | 726.87 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.49 Bn | 1.02 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.48 Bn | 774.21 Mn | 385.30 Mn |
| 10 | Axil Brands | 37.77 Mn | 14.88 Mn | 5.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 16.26 |
| May 31, 2026 | 16.96 |
| Feb 28, 2026 | 46.52 |
| Nov 30, 2025 | 25.32 |
| Aug 31, 2025 | 28.80 |
| May 31, 2025 | 47.89 |
| Feb 28, 2025 | 47.18 |
| Nov 30, 2024 | 20.24 |
| Aug 31, 2024 | 19.74 |
| May 31, 2024 | 25.60 |
| Feb 29, 2024 | 27.90 |
Axil Brands Price to Earnings 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=price-to-earnings&ticker=AXIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AXIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=AXIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();