Graham (GHM) Other Accumulated Expenses (2013 - 2026)
Graham's Other Accumulated Expenses came in at $3.97 million for fiscal Q1 2027 (quarter ended Jun 30, 2026).
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Analysis
Graham (GHM) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2018 (ended Mar 31, 2018), Graham's Other Accumulated Expenses was $17,000, down 34.6% from FY2017.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -8.8% (FY2013 to FY2018).
- Going back by fiscal year, Other Accumulated Expenses was $26,000 in FY2017 (unchanged), $26,000 in FY2016 (unchanged), $26,000 in FY2015 (unchanged) and $26,000 in FY2014 (-3.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 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 |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Mn |
| Mar 31, 2018 | 17,000.00 |
| Mar 31, 2017 | 26,000.00 |
| Mar 31, 2016 | 26,000.00 |
| Mar 31, 2015 | 26,000.00 |
| Mar 31, 2014 | 26,000.00 |
| Mar 31, 2013 | 27,000.00 |
API Access
Graham Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();