Escalade (ESCA) Inventory (2010 - 2026)
Escalade (ESCA) recorded Inventory of $77.76 million in Q3 2026, down 3.6% from $80.66 million a year earlier but up 9.2% from the prior quarter.
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Analysis
Escalade (ESCA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Escalade reported Inventory of $68.47 million, down 9.9% from FY2024.
- Annual Inventory has declined for three straight years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $76.03 million in FY2024 (-17.8%), $92.46 million in FY2023 (-24.1%), $121.87 million in FY2022 (+31.9%) and $92.38 million in FY2021 (+27.4%).
- Quarterly Inventory has ranged from $68.47 million in Q4 2025 to $134.96 million in Q3 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for 14 consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 50.4% in Q2 2022, against a decline of 24.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $71.18 million (Q2 2026), $73.59 million (Q1 2026) and $68.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn | 1.90 Bn |
| 2 | Hasbro | 17.03 Bn | 11.99 Bn | 1.21 Bn | 358.90 Mn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.74 Bn | 321.99 Mn | 572.48 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn | 829.80 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.88 Bn | 322.52 Mn | 359.12 Mn |
| 6 | Callaway Golf | 3.12 Bn | 1.01 Bn | 226.70 Mn | 536.20 Mn |
| 7 | Peloton Interactive | 2.61 Bn | -2.24 Bn | 342.60 Mn | 159.30 Mn |
| 8 | Sturm Ruger | 810.86 Mn | 394.30 Mn | 30.52 Mn | 40.97 Mn |
| 9 | Smith & Wesson Brands | 677.49 Mn | 589.75 Mn | 32.27 Mn | - |
| 10 | Escalade | 292.18 Mn | 226.33 Mn | 19.26 Mn | 77.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.76 Mn |
| Jun 30, 2026 | 71.18 Mn |
| Mar 31, 2026 | 73.59 Mn |
| Dec 31, 2025 | 68.47 Mn |
| Sep 30, 2025 | 80.66 Mn |
| Jun 30, 2025 | 72.67 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 76.03 Mn |
| Sep 30, 2024 | 85.49 Mn |
| Jun 30, 2024 | 86.57 Mn |
| Mar 31, 2024 | 95.99 Mn |
| Dec 31, 2023 | 92.46 Mn |
| Sep 30, 2023 | 105.27 Mn |
| Jun 30, 2023 | 111.68 Mn |
| Mar 31, 2023 | 122.45 Mn |
| Dec 31, 2022 | 121.87 Mn |
| Oct 1, 2022 | 134.96 Mn |
| Jul 9, 2022 | 130.25 Mn |
| Mar 19, 2022 | 114.61 Mn |
| Dec 25, 2021 | 92.38 Mn |
API Access
Escalade Inventory 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=inventory&ticker=ESCA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ESCA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=ESCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();