Impinj (PI) Change in Accrued Expenses (2015 - 2026)
Impinj's Change in Accrued Expenses came in at $2.68 million for Q3 2026, up 903.0% from $267,000 a year earlier and up 68.6% from the prior quarter.
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Analysis
Impinj (PI) Change in Accrued Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Impinj reported Change in Accrued Expenses of $5.57 million; for FY2025, it came in at -$12.51 million.
- Going back by year, Change in Accrued Expenses was $13.86 million in FY2024, -$1.12 million in FY2023, $2.68 million in FY2022 (+171.8%) and $987,000 in FY2021.
- The Q3 2026 figure represents the highest quarterly Change in Accrued Expenses since Q4 2024.
- Year-over-year, Change in Accrued Expenses increased in three of the last six quarters, with growth averaging 279.7%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2026 (growth of 903.0%), and the weakest in Q3 2025 (a decline of 95.1%).
- Business Quant data shows PI's Change in Accrued Expenses at $1.59 million (Q2 2026), $913,000 (Q1 2026) and $394,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 323.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 165.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 633.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 135.00 Mn |
| 10 | Impinj | 5.23 Bn | 4.68 Bn | 59.13 Mn | 2.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.68 Mn |
| Jun 30, 2026 | 1.59 Mn |
| Mar 31, 2026 | 913,000.00 |
| Dec 31, 2025 | 394,000.00 |
| Sep 30, 2025 | 267,000.00 |
| Jun 30, 2025 | 228,000.00 |
| Mar 31, 2025 | -13.40 Mn |
| Dec 31, 2024 | 4.34 Mn |
| Sep 30, 2024 | 5.46 Mn |
| Jun 30, 2024 | 1.87 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 785,000.00 |
| Sep 30, 2023 | -3.95 Mn |
| Jun 30, 2023 | -2.43 Mn |
| Mar 31, 2023 | 4.47 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 2.01 Mn |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | -1.78 Mn |
| Dec 31, 2021 | -76,000.00 |
API Access
Impinj Change in Accrued Expenses 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=change-in-accured-expenses&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();