Taiwan Semiconductor Manufacturing (TSM) Notes Payables (2009 - 2022)
Taiwan Semiconductor Manufacturing's Short-Term Borrowings came in at $3.9 billion for Q2 2022, down 22.0% from $4.99 billion a year earlier and down 23.1% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) Notes Payables (2009 - 2022) Analysis & Trends
At the end of FY2021, Taiwan Semiconductor Manufacturing's Short-Term Borrowings was $4.14 billion, up 31.4% from FY2020.
- Short-Term Borrowings carries a five-year compound annual growth rate of 18.2% (FY2016 to FY2021).
- Going back by year, Short-Term Borrowings was $3.15 billion in FY2020 (-20.4%), $3.96 billion in FY2019 (+36.7%), $2.9 billion in FY2018 (+34.8%) and $2.15 billion in FY2017 (+19.8%).
- The Q2 2022 figure represents the lowest quarterly Short-Term Borrowings since Q4 2020.
- Year-over-year, Short-Term Borrowings increased in four of the last eight quarters, with growth averaging 7.5%.
- The fastest year-over-year change in Short-Term Borrowings over five years came in Q2 2019 (growth of 151.2%), and the weakest in Q2 2018 (a decline of 44.1%).
- Business Quant data shows TSM's Short-Term Borrowings at $5.07 billion (Q1 2022), $4.15 billion (Q4 2021) and $4.27 billion (Q3 2021) in the three quarters before Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 3.90 Bn |
| Mar 31, 2022 | 5.07 Bn |
| Dec 31, 2021 | 4.15 Bn |
| Sep 30, 2021 | 4.27 Bn |
| Jun 30, 2021 | 4.99 Bn |
| Mar 31, 2021 | 4.82 Bn |
| Dec 31, 2020 | 3.15 Bn |
| Sep 30, 2020 | 5.38 Bn |
| Jun 30, 2020 | 5.76 Bn |
| Mar 31, 2020 | 4.64 Bn |
| Dec 31, 2019 | 3.94 Bn |
| Sep 30, 2019 | 2.76 Bn |
| Jun 30, 2019 | 2.53 Bn |
| Mar 31, 2019 | 2.48 Bn |
| Dec 31, 2018 | 2.90 Bn |
| Sep 30, 2018 | 2.42 Bn |
| Jun 30, 2018 | 1.01 Bn |
| Mar 31, 2018 | 1.95 Bn |
| Dec 31, 2017 | 2.14 Bn |
| Sep 30, 2017 | 1.79 Bn |
Taiwan Semiconductor Manufacturing Notes 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=notes-payables&ticker=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "TSM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();