Impinj (PI) Total Liabilities (2015 - 2026)
Impinj's Total Liabilities came in at $303.16 million for Q2 2026, down 5.6% from $321.13 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Impinj (PI) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Impinj's Total Liabilities was $335.96 million, down 1.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $339.22 million in FY2024 (+4.3%), $325.28 million in FY2023 (-2.7%), $334.15 million in FY2022 (+2.3%) and $326.61 million in FY2021 (+231.6%).
- The five-year range for quarterly Total Liabilities is $121.12 million (Q3 2021) to $346.75 million (Q2 2023).
- Year-over-year, Total Liabilities has declined for six consecutive quarters, with an average decline of 2.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 231.6%), and the weakest in Q1 2026 (a decline of 6.5%).
- Business Quant data shows PI's Total Liabilities at $298.62 million (Q1 2026), $335.96 million (Q4 2025) and $321.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,265.32 Bn | 5,039.48 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,223.45 Bn | 1,848.32 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,620.30 Bn | 1,546.34 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,029.76 Bn | 935.39 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 889.49 Bn | 846.24 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 621.37 Bn | 577.05 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 473.14 Bn | 342.27 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 307.10 Bn | 272.55 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 295.32 Bn | 271.37 Bn | 4.30 Bn | 12.44 Bn |
| 10 | Impinj | 5.31 Bn | 4.68 Bn | 63.53 Mn | 303.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303.16 Mn |
| Mar 31, 2026 | 298.62 Mn |
| Dec 31, 2025 | 335.96 Mn |
| Sep 30, 2025 | 321.50 Mn |
| Jun 30, 2025 | 321.13 Mn |
| Mar 31, 2025 | 319.26 Mn |
| Dec 31, 2024 | 339.22 Mn |
| Sep 30, 2024 | 340.35 Mn |
| Jun 30, 2024 | 329.12 Mn |
| Mar 31, 2024 | 327.96 Mn |
| Dec 31, 2023 | 325.28 Mn |
| Sep 30, 2023 | 328.80 Mn |
| Jun 30, 2023 | 346.75 Mn |
| Mar 31, 2023 | 346.03 Mn |
| Dec 31, 2022 | 334.15 Mn |
| Sep 30, 2022 | 325.73 Mn |
| Jun 30, 2022 | 315.67 Mn |
| Mar 31, 2022 | 323.23 Mn |
| Dec 31, 2021 | 326.61 Mn |
| Sep 30, 2021 | 121.12 Mn |
API Access
Impinj Total Liabilities 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=total-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();