Myers Industries (MYE) Cost of Revenue (2010 - 2026)
Myers Industries' Cost of Revenue was $117.74 million in Q2 2026, up 5.0% from $112.18 million a year earlier and up 9.0% from the prior quarter.
Myers Industries (MYE) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Myers Industries' Cost of Revenue was $498.87 million through Jun 30, 2026, down 0.5% year-over-year; for FY2025, it was $549.69 million, down 2.8% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $565.48 million in FY2024 (+2.1%), $553.98 million in FY2023 (-10.1%), $616.18 million in FY2022 (+12.0%) and $550.01 million in FY2021 (+62.5%).
- Quarterly Cost of Revenue has moved between $108.04 million (Q1 2026) and $158.44 million (Q2 2022) over five years.
- Compared with a year earlier, Cost of Revenue was higher in three of the last eight quarters, with an average decline of 5.0%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 71.2%); the worst was Q2 2025 (a decline of 22.5%).
- Per Business Quant data, MYE's Cost of Revenue in the three quarters before Q2 2026 was $108.04 million (Q1 2026), $136.23 million (Q4 2025) and $136.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Myers Industries | 1.19 Bn | 1.01 Bn | 61.46 Mn | 117.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.74 Mn |
| Mar 31, 2026 | 108.04 Mn |
| Dec 31, 2025 | 136.23 Mn |
| Sep 30, 2025 | 136.87 Mn |
| Jun 30, 2025 | 112.18 Mn |
| Mar 31, 2025 | 111.45 Mn |
| Dec 31, 2024 | 137.99 Mn |
| Sep 30, 2024 | 139.94 Mn |
| Jun 30, 2024 | 144.72 Mn |
| Mar 31, 2024 | 142.83 Mn |
| Dec 31, 2023 | 133.85 Mn |
| Sep 30, 2023 | 135.42 Mn |
| Jun 30, 2023 | 140.04 Mn |
| Mar 31, 2023 | 144.67 Mn |
| Dec 31, 2022 | 147.77 Mn |
| Sep 30, 2022 | 156.42 Mn |
| Jun 30, 2022 | 158.44 Mn |
| Mar 31, 2022 | 153.56 Mn |
| Dec 31, 2021 | 147.76 Mn |
| Sep 30, 2021 | 145.86 Mn |
Myers Industries Cost of Revenue 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=cost-of-revenue&ticker=MYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();