Impinj (PI) Total Current Liabilities (2015 - 2026)
Impinj (PI) reported Total Current Liabilities of $92.96 million for Q2 2026, up 209.3% from $30.05 million a year earlier and up 186.0% from the prior quarter.
Impinj (PI) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Impinj posted Total Current Liabilities of $126.53 million, down 61.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $331.18 million in FY2024 (+972.5%), $30.88 million in FY2023 (-27.1%), $42.37 million in FY2022 (+19.3%) and $35.5 million in FY2021 (+28.7%).
- Five-year quarterly Total Current Liabilities spans a low of $25.33 million in Q2 2022 and a high of $331.18 million in Q4 2024.
- Year over year, Total Current Liabilities gained in four of the last eight quarters, with growth averaging 230.9%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2024 (growth of 972.5%); the low point was Q2 2025 (a decline of 90.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $32.5 million (Q1 2026), $126.53 million (Q4 2025) and $131.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,252.35 Bn | 5,026.52 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,265.88 Bn | 1,892.06 Bn | 27.22 Bn | 58.30 Bn |
| 3 | Broadcom | 1,634.28 Bn | 1,560.33 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,050.43 Bn | 956.06 Bn | 47.05 Bn | 27.48 Bn |
| 5 | Advanced Micro Devices | 914.34 Bn | 871.09 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 630.38 Bn | 586.07 Bn | 5.90 Bn | 28.50 Bn |
| 7 | Intel | 472.73 Bn | 357.46 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Applied Materials | 314.21 Bn | 279.65 Bn | 4.59 Bn | 10.36 Bn |
| 9 | Lam Research | 300.86 Bn | 276.91 Bn | 4.30 Bn | 7.31 Bn |
| 10 | Impinj | 5.34 Bn | 4.71 Bn | 63.53 Mn | 92.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.96 Mn |
| Mar 31, 2026 | 32.50 Mn |
| Dec 31, 2025 | 126.53 Mn |
| Sep 30, 2025 | 131.80 Mn |
| Jun 30, 2025 | 30.05 Mn |
| Mar 31, 2025 | 28.17 Mn |
| Dec 31, 2024 | 331.18 Mn |
| Sep 30, 2024 | 331.10 Mn |
| Jun 30, 2024 | 318.92 Mn |
| Mar 31, 2024 | 34.44 Mn |
| Dec 31, 2023 | 30.88 Mn |
| Sep 30, 2023 | 33.76 Mn |
| Jun 30, 2023 | 50.88 Mn |
| Mar 31, 2023 | 54.60 Mn |
| Dec 31, 2022 | 42.37 Mn |
| Sep 30, 2022 | 33.64 Mn |
| Jun 30, 2022 | 25.33 Mn |
| Mar 31, 2022 | 32.64 Mn |
| Dec 31, 2021 | 35.50 Mn |
| Sep 30, 2021 | 107.22 Mn |
Impinj Total Current 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-current-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();