Mayville Engineering Company (MEC) Amortizatization of Intangibles (2019 - 2026)
Mayville Engineering Company's Amortizatization of Intangibles was $3.14 million in Q2 2026, up 81.2% from $1.73 million a year earlier and up 0.3% from the prior quarter.
Mayville Engineering Company (MEC) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mayville Engineering Company's Amortizatization of Intangibles was $12.52 million through Jun 30, 2026, up 80.6% year-over-year; for FY2025, it was $9.72 million, up 40.1% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $6.93 million in FY2024 (-10.4%), $7.74 million in FY2023 (+11.4%), $6.95 million in FY2022 (-35.1%) and $10.71 million in FY2021 (unchanged).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles in data going back to Q1 2019.
- Compared with a year earlier, Amortizatization of Intangibles has increased for four straight quarters, with growth averaging 35.6% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q2 2026 (growth of 81.2%); the worst was Q1 2022 (a decline of 35.1%).
- Per Business Quant data, MEC's Amortizatization of Intangibles in the three quarters before Q2 2026 was $3.13 million (Q1 2026), $3.13 million (Q4 2025) and $3.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 148.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 76.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | - |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 16.00 Mn |
| 10 | Mayville Engineering Company | 419.99 Mn | 413.00 Mn | 17.70 Mn | 3.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.14 Mn |
| Mar 31, 2026 | 3.13 Mn |
| Dec 31, 2025 | 3.13 Mn |
| Sep 30, 2025 | 3.13 Mn |
| Jun 30, 2025 | 1.73 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 1.73 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 2.17 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Mar 31, 2023 | 1.74 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 1.74 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | 1.74 Mn |
| Dec 31, 2021 | 2.68 Mn |
| Sep 30, 2021 | 2.68 Mn |
Mayville Engineering Company Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "MEC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=MEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();