Graham (GHM) Change in Accured Expenses (2010 - 2026)
Graham (GHM) recorded Change in Accured Expenses of -$8.56 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$7.27 million a year earlier.
Powered by 
Analysis
Graham (GHM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Graham's Change in Accured Expenses came in at -$3.14 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at -$1.85 million.
- Across earlier fiscal years, Change in Accured Expenses came in at $639,000 in FY2025 (-89.4%), $6.01 million in FY2024 (+126.5%), $2.65 million in FY2023 (+128.0%) and $1.16 million in FY2022 (-62.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Change in Accured Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Change in Accured Expenses rose in four of the last five quarters, with growth averaging 29.6%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 469.3% in fiscal Q4 2024, against a decline of 48.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.3 million (Q4 2026), $4.12 million (Q3 2026) and $2.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 67.00 Mn |
| 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 | 117.60 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 191.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Graham | 1.07 Bn | 995.83 Mn | 17.80 Mn | -8.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.56 Mn |
| Mar 31, 2026 | -1.30 Mn |
| Dec 31, 2025 | 4.12 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | -7.27 Mn |
| Mar 31, 2025 | 2.02 Mn |
| Dec 31, 2024 | 3.42 Mn |
| Sep 30, 2024 | 1.58 Mn |
| Jun 30, 2024 | -6.38 Mn |
| Mar 31, 2024 | 3.06 Mn |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 873,000.00 |
| Jun 30, 2023 | -868,000.00 |
| Mar 31, 2023 | 538,000.00 |
| Dec 31, 2022 | 1.56 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | -878,000.00 |
| Mar 31, 2022 | 699,000.00 |
| Dec 31, 2021 | -314,000.00 |
| Sep 30, 2021 | 2.23 Mn |
API Access
Graham Change in Accured 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=change-in-accured-expenses&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();