Helios Technologies (HLIO) EV to EBITDA (2011 - 2026)
Helios Technologies' (HLIO) EV to EBITDA came in at 17.58 for Q2 2027, up 128.6% from 7.69 a year earlier and up 14.5% from the prior quarter.
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Analysis
Helios Technologies (HLIO) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EV to EBITDA at Helios Technologies was 16.30, up 143.3% year-over-year; for FY2026, it came in at 13.47.
- In prior years, Helios Technologies' EV to EBITDA was 9.98 in FY2024 (-2.3%), 10.22 in FY2023 (+11.5%) and 9.16 in FY2022 (-44.6%).
- The Q2 2027 figure stands as the highest quarterly EV to EBITDA since Q1 2022.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 15.35 (Q1 2027), 13.48 (Q4 2026) and 14.41 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn |
| 10 | Helios Technologies | 2.29 Bn | 2.03 Bn | 80.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 17.50 |
| Apr 4, 2026 | 15.27 |
| Jan 3, 2026 | 13.41 |
| Sep 27, 2025 | 14.33 |
| Jun 28, 2025 | 7.65 |
| Mar 29, 2025 | 7.15 |
| Dec 28, 2024 | 9.91 |
| Sep 28, 2024 | 10.45 |
| Jun 29, 2024 | 11.23 |
| Mar 30, 2024 | 10.30 |
| Dec 30, 2023 | 10.17 |
| Sep 30, 2023 | 11.87 |
| Jul 1, 2023 | 13.05 |
| Apr 1, 2023 | 12.05 |
| Dec 31, 2022 | 9.14 |
| Oct 1, 2022 | 7.88 |
| Jul 2, 2022 | 10.97 |
| Apr 2, 2022 | 15.94 |
| Apr 3, 2021 | 22.96 |
| Sep 26, 2020 | 14.11 |
API Access
Helios Technologies EV to 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=ev-to-ebitda&ticker=HLIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "HLIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=HLIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();