Gsi Technology (GSIT) Receivables (2011 - 2026)
Gsi Technology (GSIT) reported Receivables of $2.84 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 24.8% from $2.27 million a year earlier but down 34.4% from the prior quarter.
Gsi Technology (GSIT) Receivables (2011 - 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 gained in four of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Receivables in five years was fiscal Q3 2025 (growth of 48.4%); the low point was fiscal Q2 2024 (a decline of 35.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.33 million (Q4 2026), $2.96 million (Q3 2026) and $1.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 2.84 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 3.82 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();