Myers Industries (MYE) Total Liabilities (2010 - 2026)
Myers Industries' Total Liabilities was $538.67 million in Q2 2026, down 6.8% from $578.07 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Myers Industries (MYE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Myers Industries came in at $558.35 million, down 4.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $583.3 million in FY2024 (+134.4%), $248.83 million in FY2023 (-13.1%), $286.21 million in FY2022 (+4.0%) and $275.22 million in FY2021 (+30.5%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2023.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with growth averaging 29.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 152.9%); the worst was Q3 2023 (a decline of 18.3%).
- Per Business Quant data, MYE's Total Liabilities in the three quarters before Q2 2026 was $547.86 million (Q1 2026), $558.35 million (Q4 2025) and $577.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Myers Industries | 1.17 Bn | 993.54 Mn | 61.46 Mn | 538.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 538.67 Mn |
| Mar 31, 2026 | 547.86 Mn |
| Dec 31, 2025 | 558.35 Mn |
| Sep 30, 2025 | 577.45 Mn |
| Jun 30, 2025 | 578.07 Mn |
| Mar 31, 2025 | 606.42 Mn |
| Dec 31, 2024 | 583.30 Mn |
| Sep 30, 2024 | 629.36 Mn |
| Jun 30, 2024 | 657.08 Mn |
| Mar 31, 2024 | 655.49 Mn |
| Dec 31, 2023 | 248.83 Mn |
| Sep 30, 2023 | 248.90 Mn |
| Jun 30, 2023 | 268.29 Mn |
| Mar 31, 2023 | 290.95 Mn |
| Dec 31, 2022 | 286.21 Mn |
| Sep 30, 2022 | 304.75 Mn |
| Jun 30, 2022 | 316.75 Mn |
| Mar 31, 2022 | 293.11 Mn |
| Dec 31, 2021 | 275.22 Mn |
| Sep 30, 2021 | 289.27 Mn |
API Access
Myers Industries Total Liabilities 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=total-liabilities&ticker=MYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();