Graham (GHM) Intangibles (2011 - 2026)
Graham (GHM) posted Intangibles of $37.71 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 63.0% from $23.13 million a year earlier but down 2.5% from the prior quarter.
Graham (GHM) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Intangibles came in at $38.66 million, up 63.6% from FY2025.
- Annual Intangibles shows a four-year compound annual growth rate of 44.0% (FY2022 to FY2026).
- In prior fiscal years, Graham's Intangibles was $23.63 million in FY2025 (-8.6%), $25.85 million in FY2024 (+24.2%), $20.8 million in FY2023 (+131.4%) and $8.99 million in FY2022.
- Quarterly Intangibles has run from a low of $7.96 million in fiscal Q3 2023 to a high of $38.66 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Intangibles increased in three of the last eight quarters, with growth averaging 13.8%.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q3 2024, with growth of 233.3%; the weakest was fiscal Q2 2023, with a decline of 22.1%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $38.66 million (Q4 2026), $22.77 million (Q3 2026) and $22.63 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Graham | 1.01 Bn | 934.15 Mn | 17.80 Mn | 37.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.71 Mn |
| Mar 31, 2026 | 38.66 Mn |
| Dec 31, 2025 | 22.77 Mn |
| Sep 30, 2025 | 22.63 Mn |
| Jun 30, 2025 | 23.13 Mn |
| Mar 31, 2025 | 23.63 Mn |
| Dec 31, 2024 | 24.18 Mn |
| Sep 30, 2024 | 24.74 Mn |
| Jun 30, 2024 | 25.29 Mn |
| Mar 31, 2024 | 25.85 Mn |
| Dec 31, 2023 | 26.52 Mn |
| Sep 30, 2023 | 19.91 Mn |
| Jun 30, 2023 | 20.36 Mn |
| Mar 31, 2023 | 20.80 Mn |
| Dec 31, 2022 | 7.96 Mn |
| Sep 30, 2022 | 8.30 Mn |
| Jun 30, 2022 | 8.65 Mn |
| Mar 31, 2022 | 8.99 Mn |
| Dec 31, 2021 | 10.17 Mn |
| Sep 30, 2021 | 10.66 Mn |
Graham 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=intangibles&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();