Gsi Technology (GSIT) Receivables (2009 - 2026)
Gsi Technology (GSIT) reported Receivables of $3.76 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 118.5% from $1.72 million a year earlier and up 32.5% from the prior quarter.
Gsi Technology (GSIT) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Gsi Technology posted Receivables of $4.33 million, up 11.9% from FY2025.
- Receivables has a five-year compound annual growth rate of 1.8% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $3.86 million in FY2025 (+15.9%), $3.33 million in FY2024 (-8.1%), $3.63 million in FY2023 (-23.5%) and $4.74 million in FY2022 (+19.9%).
- Five-year quarterly Receivables spans a low of $1.72 million in fiscal Q2 2026 and a high of $5.07 million in fiscal Q2 2023.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 17.7% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q2 2027 (growth of 118.5%); the low point was fiscal Q2 2024 (a decline of 35.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.84 million (Q1 2027), $4.33 million (Q4 2026) and $2.96 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 15.18 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 36.65 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 9.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn | 3.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.76 Mn |
| Jun 30, 2026 | 2.84 Mn |
| Mar 31, 2026 | 4.33 Mn |
| Dec 31, 2025 | 2.96 Mn |
| Sep 30, 2025 | 1.72 Mn |
| Jun 30, 2025 | 2.27 Mn |
| Mar 31, 2025 | 3.86 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 2.58 Mn |
| Jun 30, 2024 | 3.01 Mn |
| Mar 31, 2024 | 3.33 Mn |
| Dec 31, 2023 | 2.49 Mn |
| Sep 30, 2023 | 3.25 Mn |
| Jun 30, 2023 | 3.17 Mn |
| Mar 31, 2023 | 3.63 Mn |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 5.07 Mn |
| Jun 30, 2022 | 4.49 Mn |
| Mar 31, 2022 | 4.74 Mn |
| Dec 31, 2021 | 3.31 Mn |
Gsi Technology 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=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GSIT", "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=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();