Graham (GHM) Amortization of Intangibles (2010 - 2026)
Graham's Amortizatization of Intangibles was $1.05 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 110.4% from $499,000 a year earlier and up 5.1% from the prior quarter.
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Analysis
Graham (GHM) Amortization of Intangibles (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graham's Amortizatization of Intangibles was $3.06 million through Jun 30, 2026, up 41.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $2.51 million, up 13.0% from FY2025.
- Amortizatization of Intangibles shows a four-year compound annual growth rate of -0.2% (FY2022 to FY2026).
- In earlier fiscal years, Amortizatization of Intangibles was $2.22 million in FY2025 (+2.8%), $2.16 million in FY2024 (-12.9%), $2.48 million in FY2023 (-1.8%) and $2.52 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2011.
- Compared with a year earlier, Amortizatization of Intangibles was higher in three of the last eight quarters, with growth averaging 20.3%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was fiscal Q1 2023 (growth of 175.1%); the worst was fiscal Q2 2024 (a decline of 28.1%).
- Per Business Quant data, GHM's Amortizatization of Intangibles in the three fiscal quarters before Q1 2027 was $999,000 (Q4 2026), $510,000 (Q3 2026) and $498,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | - |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | - |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | - |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 189.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 16.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 68.10 Mn |
| 10 | Graham | 904.91 Mn | 828.55 Mn | 17.80 Mn | 1.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 999,000.00 |
| Dec 31, 2025 | 510,000.00 |
| Sep 30, 2025 | 498,000.00 |
| Jun 30, 2025 | 499,000.00 |
| Mar 31, 2025 | 555,000.00 |
| Dec 31, 2024 | 554,000.00 |
| Sep 30, 2024 | 555,000.00 |
| Jun 30, 2024 | 554,000.00 |
| Mar 31, 2024 | 670,000.00 |
| Dec 31, 2023 | 596,000.00 |
| Sep 30, 2023 | 445,000.00 |
| Jun 30, 2023 | 446,000.00 |
| Mar 31, 2023 | 619,000.00 |
| Dec 31, 2022 | 619,000.00 |
| Sep 30, 2022 | 619,000.00 |
| Jun 30, 2022 | 619,000.00 |
| Mar 31, 2022 | 757,000.00 |
| Dec 31, 2021 | 756,000.00 |
| Sep 30, 2021 | 784,000.00 |
API Access
Graham Amortization 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=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "GHM", "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=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();