Smith & Wesson Brands (SWBI) Cost of Revenue (2010 - 2026)
Smith & Wesson Brands (SWBI) recorded Cost of Revenue of $80.32 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 27.5% from $63 million a year earlier but down 35.9% from the prior quarter.
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Analysis
Smith & Wesson Brands (SWBI) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Smith & Wesson Brands' Cost of Revenue came in at $400.06 million as of Jul 31, 2026, up 15.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $382.74 million, up 10.1% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of -8.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $347.48 million in FY2025 (-8.0%), $377.74 million in FY2024 (+16.3%), $324.71 million in FY2023 (-33.7%) and $489.56 million in FY2022 (-19.8%).
- Quarterly Cost of Revenue has ranged from $52.92 million in fiscal Q1 2023 to $128.48 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 58.4% in fiscal Q1 2024, against a decline of 63.4% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $125.3 million (Q4 2026), $100.12 million (Q3 2026) and $94.32 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 561.00 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 384.80 Mn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 327.25 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 583.21 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 161.34 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 210.20 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 216.60 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 117.10 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 80.32 Mn |
| 10 | Unusual Machines | 592.37 Mn | -313.66 Mn | 4.92 Mn | 8.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 80.32 Mn |
| Apr 30, 2026 | 125.30 Mn |
| Jan 31, 2026 | 100.12 Mn |
| Oct 31, 2025 | 94.32 Mn |
| Jul 31, 2025 | 63.00 Mn |
| Apr 30, 2025 | 100.22 Mn |
| Jan 31, 2025 | 87.94 Mn |
| Oct 31, 2024 | 95.18 Mn |
| Jul 31, 2024 | 64.15 Mn |
| Apr 30, 2024 | 102.65 Mn |
| Jan 31, 2024 | 98.06 Mn |
| Oct 31, 2023 | 93.19 Mn |
| Jul 31, 2023 | 83.84 Mn |
| Apr 30, 2023 | 102.82 Mn |
| Jan 31, 2023 | 87.20 Mn |
| Oct 31, 2022 | 81.77 Mn |
| Jul 31, 2022 | 52.92 Mn |
| Apr 30, 2022 | 109.07 Mn |
| Jan 31, 2022 | 107.34 Mn |
| Oct 31, 2021 | 128.48 Mn |
API Access
Smith & Wesson Brands Cost of Revenue 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=cost-of-revenue&ticker=SWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "SWBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();