Everspin Technologies (MRAM) Accounts Payables (2015 - 2026)
Everspin Technologies' Accounts Payables came in at $2.39 million for Q2 2026, down 18.3% from $2.93 million a year earlier and down 31.8% from the prior quarter.
Everspin Technologies (MRAM) Accounts Payables (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies' Accounts Payables was $5.18 million, up 127.4% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $2.28 million in FY2024 (-21.9%), $2.92 million in FY2023 (+5.0%), $2.78 million in FY2022 (+56.4%) and $1.78 million in FY2021 (-20.1%).
- The five-year range for quarterly Accounts Payables is $1.23 million (Q2 2023) to $5.18 million (Q4 2025).
- Year-over-year, Accounts Payables increased in five of the last eight quarters, with growth averaging 18.9%.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2025 (growth of 127.4%), and the weakest in Q2 2023 (a decline of 54.3%).
- Business Quant data shows MRAM's Accounts Payables at $3.51 million (Q1 2026), $5.18 million (Q4 2025) and $1.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 15.06 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.45 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.00 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 15.52 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.36 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.10 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 8.76 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.30 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.79 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 2.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Mn |
| Mar 31, 2026 | 3.51 Mn |
| Dec 31, 2025 | 5.18 Mn |
| Sep 30, 2025 | 1.81 Mn |
| Jun 30, 2025 | 2.93 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 2.74 Mn |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 2.43 Mn |
| Dec 31, 2023 | 2.92 Mn |
| Sep 30, 2023 | 2.57 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 2.78 Mn |
| Sep 30, 2022 | 3.40 Mn |
| Jun 30, 2022 | 2.69 Mn |
| Mar 31, 2022 | 2.29 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 2.66 Mn |
Everspin Technologies Accounts Payables 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=accounts-payables&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();