Myers Industries (MYE) Receivables (2010 - 2026)
Myers Industries (MYE) posted Receivables of $108.71 million for Q2 2026, down 3.6% from $112.8 million a year earlier but up 1.6% from the prior quarter.
Myers Industries (MYE) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Myers Industries' Receivables came in at $95.44 million, down 12.7% from FY2024.
- Annual Receivables has declined for three consecutive years, though with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Myers Industries' Receivables was $109.37 million in FY2024 (-4.0%), $113.91 million in FY2023 (-9.7%), $126.18 million in FY2022 (+25.3%) and $100.69 million in FY2021 (+20.3%).
- Quarterly Receivables has run from a low of $95.44 million in Q4 2025 to a high of $132.69 million in Q1 2022 over five years.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with an average decline of 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2021, with growth of 53.8%; the weakest was Q1 2026, with a decline of 18.7%.
- According to Business Quant data, Receivables for the three prior quarters was $106.97 million (Q1 2026), $95.44 million (Q4 2025) and $123.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Myers Industries | 1.17 Bn | 993.54 Mn | 61.46 Mn | 108.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.71 Mn |
| Mar 31, 2026 | 106.97 Mn |
| Dec 31, 2025 | 95.44 Mn |
| Sep 30, 2025 | 123.27 Mn |
| Jun 30, 2025 | 112.80 Mn |
| Mar 31, 2025 | 131.57 Mn |
| Dec 31, 2024 | 109.37 Mn |
| Sep 30, 2024 | 122.72 Mn |
| Jun 30, 2024 | 129.78 Mn |
| Mar 31, 2024 | 130.43 Mn |
| Dec 31, 2023 | 113.91 Mn |
| Sep 30, 2023 | 117.36 Mn |
| Jun 30, 2023 | 116.77 Mn |
| Mar 31, 2023 | 130.62 Mn |
| Dec 31, 2022 | 126.18 Mn |
| Sep 30, 2022 | 128.84 Mn |
| Jun 30, 2022 | 132.00 Mn |
| Mar 31, 2022 | 132.69 Mn |
| Dec 31, 2021 | 100.69 Mn |
| Sep 30, 2021 | 116.15 Mn |
Myers Industries Receivables 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=receivables&ticker=MYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();