Impinj (PI) Total Non-Current Liabilities (2015 - 2023)
Impinj (PI) reported Total Non-Current Liabilities of $345.9 million for Q1 2023, up 7.0% from $323.12 million a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Impinj (PI) Total Non-Current Liabilities (2015 - 2023) Analysis & Trends
At the end of FY2022, Impinj posted Total Non-Current Liabilities of $334.03 million, up 2.4% from FY2021.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 65.1% (FY2017 to FY2022).
- By year, Total Non-Current Liabilities came in at $326.33 million in FY2021 (+234.0%), $97.69 million in FY2020 (+9.2%), $89.49 million in FY2019 (+113.6%) and $41.89 million in FY2018 (+54.0%).
- The Q1 2023 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2015.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 108.7% over the last seven quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 2.4% (Q4 2022) and 234.0% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q1 2023 came in at $334.03 million (Q4 2022), $325.62 million (Q3 2022) and $315.55 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,238.60 Bn | 5,012.76 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,219.51 Bn | 1,844.38 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,576.78 Bn | 1,502.83 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,026.35 Bn | 931.98 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 868.40 Bn | 825.15 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 619.75 Bn | 575.44 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 467.27 Bn | 336.40 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Applied Materials | 310.28 Bn | 275.72 Bn | 4.59 Bn | 15.60 Bn |
| 9 | Lam Research | 299.64 Bn | 275.69 Bn | 4.30 Bn | 11.04 Bn |
| 10 | Impinj | 5.36 Bn | 4.73 Bn | 63.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 345.90 Mn |
| Dec 31, 2022 | 334.03 Mn |
| Sep 30, 2022 | 325.62 Mn |
| Jun 30, 2022 | 315.55 Mn |
| Mar 31, 2022 | 323.12 Mn |
| Dec 31, 2021 | 326.33 Mn |
| Sep 30, 2021 | 120.31 Mn |
| Jun 30, 2021 | 121.85 Mn |
| Mar 31, 2021 | 127.31 Mn |
| Dec 31, 2020 | 97.69 Mn |
| Sep 30, 2020 | 89.60 Mn |
| Mar 31, 2020 | 89.67 Mn |
| Dec 31, 2019 | 89.49 Mn |
| Sep 30, 2019 | 61.57 Mn |
| Jun 30, 2019 | 63.22 Mn |
| Mar 31, 2019 | 62.00 Mn |
| Dec 31, 2018 | 41.10 Mn |
| Sep 30, 2018 | 42.97 Mn |
| Jun 30, 2018 | 38.18 Mn |
| Mar 31, 2018 | 37.05 Mn |
API Access
Impinj Total Non-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-non-current-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();