Hillman Solutions (HLMN) Operating Expenses (2020 - 2026)
Hillman Solutions (HLMN) reported Operating Expenses of $156.52 million for Q2 2026, up 9.0% from $143.56 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Hillman Solutions (HLMN) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Hillman Solutions' Operating Expenses came in at $602.96 million, up 6.3% year-over-year; for FY2025, it came in at $581.87 million, up 4.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $557.47 million in FY2024 (+9.0%), $511.44 million in FY2023 (-5.1%), $538.81 million in FY2022 (+8.4%) and $497.28 million in FY2021 (+6.7%).
- Five-year quarterly Operating Expenses spans a low of $124.9 million in Q3 2021 and a high of $158.44 million in Q3 2025.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 651.8%); the low point was Q3 2023 (a decline of 13.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $146.57 million (Q1 2026), $141.43 million (Q4 2025) and $158.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Hillman Solutions | 1.36 Bn | 1.23 Bn | 208.09 Mn | 156.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 156.52 Mn |
| Mar 28, 2026 | 146.57 Mn |
| Dec 27, 2025 | 141.43 Mn |
| Sep 27, 2025 | 158.44 Mn |
| Jun 28, 2025 | 143.56 Mn |
| Mar 29, 2025 | 138.45 Mn |
| Dec 28, 2024 | 136.91 Mn |
| Sep 28, 2024 | 148.21 Mn |
| Jun 29, 2024 | 137.45 Mn |
| Mar 30, 2024 | 134.90 Mn |
| Dec 30, 2023 | 130.63 Mn |
| Sep 30, 2023 | 127.79 Mn |
| Jul 1, 2023 | 125.25 Mn |
| Apr 1, 2023 | 127.77 Mn |
| Dec 31, 2022 | 131.06 Mn |
| Sep 24, 2022 | 147.56 Mn |
| Jun 25, 2022 | 132.40 Mn |
| Mar 26, 2022 | 127.79 Mn |
| Dec 25, 2021 | 125.92 Mn |
| Sep 25, 2021 | 124.90 Mn |
API Access
Hillman Solutions 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=HLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HLMN", "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=HLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();