Graham (GHM) Prepaid Assets (2011 - 2026)
Graham (GHM) posted Prepaid Assets of $5.41 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 33.5% from $4.06 million a year earlier and up 27.2% from the prior quarter.
Graham (GHM) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Prepaid Assets came in at $4.26 million, up 0.1% from FY2025.
- Annual Prepaid Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 52.7% (FY2021 to FY2026).
- In prior fiscal years, Graham's Prepaid Assets was $4.25 million in FY2025 (+19.3%), $3.56 million in FY2024 (+94.0%), $1.84 million in FY2023 (+32.0%) and $1.39 million in FY2022 (+171.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Prepaid Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Prepaid Assets increased in five of the last eight quarters, with growth averaging 10.8%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q4 2022, with growth of 171.7%; the weakest was fiscal Q3 2026, with a decline of 9.7%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $4.26 million (Q4 2026), $3.49 million (Q3 2026) and $4.01 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Graham | 1.01 Bn | 934.15 Mn | 17.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.41 Mn |
| Mar 31, 2026 | 4.26 Mn |
| Dec 31, 2025 | 3.49 Mn |
| Sep 30, 2025 | 4.01 Mn |
| Jun 30, 2025 | 4.06 Mn |
| Mar 31, 2025 | 4.25 Mn |
| Dec 31, 2024 | 3.87 Mn |
| Sep 30, 2024 | 4.41 Mn |
| Jun 30, 2024 | 4.01 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 4.01 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 2.68 Mn |
| Mar 31, 2023 | 1.84 Mn |
| Dec 31, 2022 | 1.90 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.91 Mn |
| Sep 30, 2021 | 2.19 Mn |
Graham Prepaid Assets 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=prepaid-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();