Hillman Solutions (HLMN) EBITDA (2020 - 2026)
Hillman Solutions' EBITDA came in at $78.69 million for Q2 2026, up 10.2% from $71.42 million a year earlier and up 76.9% from the prior quarter.
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Analysis
Hillman Solutions (HLMN) EBITDA (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Hillman Solutions reported EBITDA of $257 million, up 12.2% year-over-year; for FY2025, it was $255.07 million, up 16.6% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $218.84 million in FY2024 (+19.9%), $182.57 million in FY2023 (+14.2%), $159.9 million in FY2022 (+22.0%) and $131.04 million in FY2021 (-32.0%).
- The five-year range for quarterly EBITDA is $16.66 million (Q3 2021) to $81.27 million (Q3 2025).
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 11.7%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2023 (growth of 120.1%), and the weakest in Q3 2021 (a decline of 67.3%).
- Business Quant data shows HLMN's EBITDA at $44.49 million (Q1 2026), $52.56 million (Q4 2025) and $81.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 873.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 547.30 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 709.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 1.28 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 511.10 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 444.90 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 175.57 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 227.40 Mn |
| 10 | Hillman Solutions | 1.36 Bn | 1.23 Bn | 208.09 Mn | 78.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 78.69 Mn |
| Mar 28, 2026 | 44.49 Mn |
| Dec 27, 2025 | 52.56 Mn |
| Sep 27, 2025 | 81.27 Mn |
| Jun 28, 2025 | 71.42 Mn |
| Mar 29, 2025 | 49.83 Mn |
| Dec 28, 2024 | 47.60 Mn |
| Sep 28, 2024 | 60.22 Mn |
| Jun 29, 2024 | 63.13 Mn |
| Mar 30, 2024 | 47.90 Mn |
| Dec 30, 2023 | 34.27 Mn |
| Sep 30, 2023 | 64.76 Mn |
| Jul 1, 2023 | 50.18 Mn |
| Apr 1, 2023 | 33.37 Mn |
| Dec 31, 2022 | 35.35 Mn |
| Sep 24, 2022 | 29.42 Mn |
| Jun 25, 2022 | 57.51 Mn |
| Mar 26, 2022 | 37.62 Mn |
| Dec 25, 2021 | 27.16 Mn |
| Sep 25, 2021 | 16.66 Mn |
API Access
Hillman Solutions EBITDA 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=ebitda&ticker=HLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();