Hawkins (HWKN) Operating Expenses (2010 - 2026)
Hawkins (HWKN) reported Operating Expenses of $35.34 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 13.9% from $31.03 million a year earlier and up 14.8% from the prior quarter.
Hawkins (HWKN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Hawkins' Operating Expenses came in at $128.07 million, up 13.8% year-over-year; for FY2026 (ended Mar 29, 2026), it was $123.76 million, up 16.4% from FY2025.
- Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $106.36 million in FY2025 (+18.7%), $89.6 million in FY2024 (+16.4%), $76.97 million in FY2023 (+2.2%) and $75.33 million in FY2022 (+11.0%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Operating Expenses has now increased in each of the last 13 quarters, with growth averaging 16.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 47.5%); the low point was fiscal Q4 2023 (a decline of 18.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $30.77 million (Q4 2026), $28.26 million (Q3 2026) and $33.7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Hawkins | 2.65 Bn | 2.62 Bn | 74.01 Mn | 35.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 35.34 Mn |
| Mar 29, 2026 | 30.77 Mn |
| Dec 28, 2025 | 28.26 Mn |
| Sep 28, 2025 | 33.70 Mn |
| Jun 29, 2025 | 31.03 Mn |
| Mar 30, 2025 | 27.66 Mn |
| Dec 29, 2024 | 27.36 Mn |
| Sep 29, 2024 | 26.48 Mn |
| Jun 30, 2024 | 24.86 Mn |
| Mar 31, 2024 | 25.43 Mn |
| Dec 31, 2023 | 23.77 Mn |
| Oct 1, 2023 | 20.90 Mn |
| Jul 2, 2023 | 19.50 Mn |
| Apr 2, 2023 | 17.24 Mn |
| Jan 1, 2023 | 21.00 Mn |
| Oct 2, 2022 | 19.84 Mn |
| Jul 3, 2022 | 18.89 Mn |
| Apr 3, 2022 | 21.11 Mn |
| Dec 26, 2021 | 19.68 Mn |
| Sep 26, 2021 | 17.68 Mn |
Hawkins 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=HWKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HWKN", "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=HWKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();