Graham (GHM) Receivables (2011 - 2026)
Graham (GHM) posted Receivables of $115.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 56.2% from $74.02 million a year earlier and up 23.4% from the prior quarter.
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Analysis
Graham (GHM) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Graham's Receivables came in at $93.68 million, up 26.6% from FY2025.
- Annual Receivables has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 20.2% (FY2021 to FY2026).
- In prior fiscal years, Graham's Receivables was $74 million in FY2025 (+2.2%), $72.42 million in FY2024 (+13.7%), $63.68 million in FY2023 (+19.7%) and $53.22 million in FY2022 (+42.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Receivables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Receivables has increased in each of the last four quarters, with growth averaging 19.9% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q3 2022, with growth of 76.8%; the weakest was fiscal Q3 2024, with a decline of 6.1%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $93.68 million (Q4 2026), $89.53 million (Q3 2026) and $92.25 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 327.78 Bn | 299.48 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 198.25 Bn | 192.84 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 173.42 Bn | 141.52 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 151.71 Bn | 148.90 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 115.07 Bn | 113.19 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Emerson Electric | 93.71 Bn | 86.44 Bn | 2.66 Bn | 3.65 Bn |
| 7 | Vertiv Holdings | 91.23 Bn | 81.85 Bn | 1.23 Bn | 3.75 Bn |
| 8 | 3M | 89.34 Bn | 70.78 Bn | 2.78 Bn | 4.12 Bn |
| 9 | Illinois Tool Works | 78.46 Bn | 78.46 Bn | - | - |
| 10 | Graham | 823.04 Mn | 746.67 Mn | 17.80 Mn | 115.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.63 Mn |
| Mar 31, 2026 | 93.68 Mn |
| Dec 31, 2025 | 89.53 Mn |
| Sep 30, 2025 | 92.25 Mn |
| Jun 30, 2025 | 74.02 Mn |
| Mar 31, 2025 | 74.00 Mn |
| Dec 31, 2024 | 72.73 Mn |
| Sep 30, 2024 | 69.81 Mn |
| Jun 30, 2024 | 76.81 Mn |
| Mar 31, 2024 | 72.42 Mn |
| Dec 31, 2023 | 64.34 Mn |
| Sep 30, 2023 | 63.69 Mn |
| Jun 30, 2023 | 64.01 Mn |
| Mar 31, 2023 | 63.68 Mn |
| Dec 31, 2022 | 68.53 Mn |
| Sep 30, 2022 | 57.78 Mn |
| Jun 30, 2022 | 55.51 Mn |
| Mar 31, 2022 | 53.22 Mn |
| Dec 31, 2021 | 61.58 Mn |
| Sep 30, 2021 | 56.91 Mn |
API Access
Graham Receivables 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=receivables&ticker=GHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();