Escalade (ESCA) Operating Expenses (2010 - 2026)
Escalade (ESCA) recorded Operating Expenses of $12.48 million in Q2 2026, up 21.7% from $10.25 million a year earlier and up 16.2% from the prior quarter.
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Analysis
Escalade (ESCA) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Escalade's Operating Expenses came in at $46.02 million as of Jun 30, 2026, up 6.1% year-over-year; for FY2025, it came in at $43.63 million, up 0.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $43.3 million in FY2024 (+4.4%), $41.48 million in FY2023 (-7.3%), $44.77 million in FY2022 (+3.2%) and $43.37 million in FY2021 (+7.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q2 2022.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 26.3% in Q3 2023, against a decline of 33.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.73 million (Q1 2026), $11.61 million (Q4 2025) and $11.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.85 Bn | 14.44 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 15.50 Bn | 11.27 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Mattel | 4.91 Bn | 1.59 Bn | 542.12 Mn | - |
| 4 | Acushnet Holdings | 4.84 Bn | 4.58 Bn | 445.83 Mn | 267.00 Mn |
| 5 | YETI Holdings | 3.17 Bn | 2.49 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 2.64 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.31 Bn | -2.31 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 797.22 Mn | 333.71 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 774.40 Mn | 378.40 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Escalade | 260.14 Mn | 215.31 Mn | 15.11 Mn | 12.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.48 Mn |
| Mar 31, 2026 | 10.73 Mn |
| Dec 31, 2025 | 11.61 Mn |
| Sep 30, 2025 | 11.20 Mn |
| Jun 30, 2025 | 10.25 Mn |
| Mar 31, 2025 | 10.57 Mn |
| Dec 31, 2024 | 10.86 Mn |
| Sep 30, 2024 | 11.68 Mn |
| Jun 30, 2024 | 10.06 Mn |
| Mar 31, 2024 | 10.70 Mn |
| Dec 31, 2023 | 10.36 Mn |
| Sep 30, 2023 | 11.07 Mn |
| Jun 30, 2023 | 9.77 Mn |
| Mar 31, 2023 | 10.28 Mn |
| Dec 31, 2022 | 10.79 Mn |
| Oct 1, 2022 | 8.77 Mn |
| Jul 9, 2022 | 14.68 Mn |
| Mar 19, 2022 | 10.53 Mn |
| Dec 25, 2021 | 9.48 Mn |
| Oct 2, 2021 | 10.20 Mn |
API Access
Escalade 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=ESCA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ESCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();