Everspin Technologies (MRAM) Cost of Revenue (2015 - 2026)
Everspin Technologies (MRAM) recorded Cost of Revenue of $8.64 million in Q2 2026, up 34.3% from $6.43 million a year earlier and up 22.9% from the prior quarter.
Everspin Technologies (MRAM) Cost of Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, Everspin Technologies' Cost of Revenue came in at $29.81 million as of Jun 30, 2026, up 17.3% year-over-year; for FY2025, it was $26.96 million, up 11.1% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $24.28 million in FY2024 (-8.5%), $26.52 million in FY2023 (+1.8%), $26.04 million in FY2022 (+18.0%) and $22.07 million in FY2021 (-7.8%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q3 2015.
- On a year-over-year basis, Cost of Revenue has increased for six consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 42.5% in Q4 2021, against a decline of 18.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.03 million (Q1 2026), $7.29 million (Q4 2025) and $6.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 8.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.64 Mn |
| Mar 31, 2026 | 7.03 Mn |
| Dec 31, 2025 | 7.29 Mn |
| Sep 30, 2025 | 6.85 Mn |
| Jun 30, 2025 | 6.43 Mn |
| Mar 31, 2025 | 6.39 Mn |
| Dec 31, 2024 | 6.45 Mn |
| Sep 30, 2024 | 6.14 Mn |
| Jun 30, 2024 | 5.42 Mn |
| Mar 31, 2024 | 6.27 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 6.55 Mn |
| Jun 30, 2023 | 6.55 Mn |
| Mar 31, 2023 | 6.42 Mn |
| Dec 31, 2022 | 7.62 Mn |
| Sep 30, 2022 | 6.28 Mn |
| Jun 30, 2022 | 6.12 Mn |
| Mar 31, 2022 | 6.02 Mn |
| Dec 31, 2021 | 6.78 Mn |
| Sep 30, 2021 | 6.35 Mn |
Everspin Technologies Cost of Revenue 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=cost-of-revenue&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();