Everspin Technologies (MRAM) Receivables (2015 - 2026)
Everspin Technologies (MRAM) recorded Receivables of $10.92 million in Q2 2026, up 46.8% from $7.44 million a year earlier and up 5.0% from the prior quarter.
Powered by 
Analysis
Everspin Technologies (MRAM) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies reported Receivables of $8.28 million, down 32.3% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $12.22 million in FY2024 (+1.4%), $12.05 million in FY2023 (+7.5%), $11.22 million in FY2022 (+29.8%) and $8.64 million in FY2021 (+9.9%).
- The Q2 2026 figure is the highest quarterly Receivables since Q1 2025.
- On a year-over-year basis, Receivables rose in three of the last eight quarters, with an average decline of 5.9%.
- Peak year-over-year performance for Receivables in the last five years was growth of 46.8% in Q2 2026, against a decline of 32.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.39 million (Q1 2026), $8.28 million (Q4 2025) and $8.81 million (Q3 2025).
Peer Set
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 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 10.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.92 Mn |
| Mar 31, 2026 | 10.39 Mn |
| Dec 31, 2025 | 8.28 Mn |
| Sep 30, 2025 | 8.81 Mn |
| Jun 30, 2025 | 7.44 Mn |
| Mar 31, 2025 | 12.76 Mn |
| Dec 31, 2024 | 12.22 Mn |
| Sep 30, 2024 | 11.67 Mn |
| Jun 30, 2024 | 10.40 Mn |
| Mar 31, 2024 | 13.37 Mn |
| Dec 31, 2023 | 12.05 Mn |
| Sep 30, 2023 | 10.32 Mn |
| Jun 30, 2023 | 9.16 Mn |
| Mar 31, 2023 | 11.71 Mn |
| Dec 31, 2022 | 11.22 Mn |
| Sep 30, 2022 | 12.87 Mn |
| Jun 30, 2022 | 9.89 Mn |
| Mar 31, 2022 | 11.21 Mn |
| Dec 31, 2021 | 8.64 Mn |
| Sep 30, 2021 | 10.97 Mn |
API Access
Everspin Technologies 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=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "MRAM", "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=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();