Avnet (AVT) Notes Payables (2009 - 2020)
Avnet (AVT) posted Short-Term Borrowings of $399.97 million for fiscal Q3 2020 (quarter ended Mar 28, 2020), up 693.6% from $50.4 million a year earlier but down 18.7% from the prior quarter.
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Analysis
Avnet (AVT) Notes Payables (2009 - 2020) Analysis & Trends
At the end of FY2019 (ended Jun 29, 2019), Avnet's Short-Term Borrowings came in at $300.54 million, up 81.7% from FY2018.
- Annual Short-Term Borrowings shows a five-year compound annual growth rate of -19.1% (FY2014 to FY2019).
- In prior fiscal years, Avnet's Short-Term Borrowings was $165.38 million in FY2018 (+230.0%), $50.11 million in FY2017 (-88.1%), $422.6 million in FY2016 (+27.6%) and $331.12 million in FY2015 (-61.7%).
- Quarterly Short-Term Borrowings has run from a low of $1.85 million in fiscal Q2 2019 to a high of $638.4 million in fiscal Q1 2020 over five years.
- On a year-over-year basis, Short-Term Borrowings increased in four of the last six quarters, with growth averaging 246.2%.
- The strongest year-over-year quarter for Short-Term Borrowings in the past five years was fiscal Q3 2020, with growth of 693.6%; the weakest was fiscal Q2 2019, with a decline of 92.1%.
- According to Business Quant data, Short-Term Borrowings for the three prior fiscal quarters was $492.22 million (Q2 2020), $638.4 million (Q1 2020) and $300.54 million (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.98 Bn | -78.28 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 29.67 Bn | 23.64 Bn | 1.91 Bn |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn |
| 4 | Cdw | 20.37 Bn | 17.27 Bn | 1.39 Bn |
| 5 | Cgi | 18.40 Bn | 16.20 Bn | - |
| 6 | Td Synnex | 18.17 Bn | 12.32 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.79 Bn | 8.74 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.06 Bn | 3.98 Bn | 445.94 Mn |
| 9 | Avnet | 6.96 Bn | 6.14 Bn | 865.03 Mn |
| 10 | ExlService Holdings | 6.53 Bn | 5.33 Bn | 241.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2020 | 399.97 Mn |
| Dec 28, 2019 | 492.22 Mn |
| Sep 28, 2019 | 638.40 Mn |
| Jun 29, 2019 | 300.54 Mn |
| Mar 30, 2019 | 50.40 Mn |
| Dec 29, 2018 | 1.85 Mn |
| Sep 29, 2018 | 10.63 Mn |
| Jun 30, 2018 | 165.38 Mn |
| Mar 31, 2018 | 6.98 Mn |
| Dec 30, 2017 | 23.35 Mn |
| Sep 30, 2017 | 25.50 Mn |
| Jul 1, 2017 | 50.11 Mn |
| Apr 1, 2017 | 32.57 Mn |
| Dec 31, 2016 | 246.73 Mn |
| Oct 1, 2016 | 98.02 Mn |
| Jul 2, 2016 | 422.60 Mn |
| Apr 2, 2016 | 156.74 Mn |
| Jan 2, 2016 | 146.22 Mn |
| Oct 3, 2015 | 119.41 Mn |
| Jun 27, 2015 | 331.12 Mn |
API Access
Avnet 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=AVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "AVT", "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=AVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();