Myers Industries (MYE) EBITDA (2010 - 2026)
Myers Industries (MYE) recorded EBITDA of $40.24 million in Q2 2026, up 32.1% from $30.45 million a year earlier and up 18.3% from the prior quarter.
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Analysis
Myers Industries (MYE) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Myers Industries' EBITDA came in at $132.74 million as of Jun 30, 2026, up 48.9% year-over-year; for FY2025, it came in at $116.16 million, up 29.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $89.45 million in FY2024 (-6.3%), $95.5 million in FY2023 (-9.6%), $105.6 million in FY2022 (+50.5%) and $70.19 million in FY2021 (-13.5%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 47.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 367.2% in Q3 2025, against a decline of 75.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.02 million (Q1 2026), $30.57 million (Q4 2025) and $27.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 1.89 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Myers Industries | 1.24 Bn | 1.06 Bn | 61.46 Mn | 40.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.88 Mn |
| Mar 31, 2026 | 34.68 Mn |
| Dec 31, 2025 | 31.27 Mn |
| Sep 30, 2025 | 28.46 Mn |
| Jun 30, 2025 | 30.99 Mn |
| Mar 31, 2025 | 28.18 Mn |
| Dec 31, 2024 | 25.07 Mn |
| Sep 30, 2024 | 5.98 Mn |
| Jun 30, 2024 | 35.68 Mn |
| Mar 31, 2024 | 22.72 Mn |
| Dec 31, 2023 | 24.56 Mn |
| Sep 30, 2023 | 24.39 Mn |
| Jun 30, 2023 | 21.90 Mn |
| Mar 31, 2023 | 24.65 Mn |
| Dec 31, 2022 | 22.72 Mn |
| Sep 30, 2022 | 25.18 Mn |
| Jun 30, 2022 | 27.98 Mn |
| Mar 31, 2022 | 29.73 Mn |
| Dec 31, 2021 | 15.54 Mn |
| Sep 30, 2021 | 18.19 Mn |
API Access
Myers Industries 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=MYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MYE", "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=MYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();