Fabrinet (FN) Non-Current Debt (2011 - 2023)
Fabrinet (FN) reported Non-Current Debt of $3.04 million for fiscal Q3 2023 (quarter ended Mar 31, 2023), down 83.3% from $18.24 million a year earlier and down 50.0% from the prior quarter.
Fabrinet (FN) Non-Current Debt (2011 - 2023) Analysis & Trends
At the end of FY2022 (ended Jun 24, 2022), Fabrinet posted Non-Current Debt of $15.2 million, down 44.4% from FY2021.
- Non-Current Debt has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -7.7% (FY2017 to FY2022).
- By fiscal year, Non-Current Debt came in at $27.36 million in FY2021 (-30.8%), $39.51 million in FY2020 (-31.5%), $57.69 million in FY2019 (-5.3%) and $60.94 million in FY2018 (+168.4%).
- The fiscal Q3 2023 figure ranks as the lowest quarterly Non-Current Debt in data going back to fiscal Q4 2011.
- Year over year, Non-Current Debt has now declined in each of the last 16 quarters, with an average decline of 50.3% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q3 2019 (growth of 364.5%); the low point was fiscal Q3 2023 (a decline of 83.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $6.08 million (Q2 2023), $9.12 million (Q1 2023) and $15.2 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 71.34 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 19.37 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 25.99 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | - |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 3.38 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | - |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 6.23 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 17.34 Bn |
| 10 | Fabrinet | 14.70 Bn | 10.95 Bn | 158.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 3.04 Mn |
| Dec 30, 2022 | 6.08 Mn |
| Sep 30, 2022 | 9.12 Mn |
| Jun 24, 2022 | 15.20 Mn |
| Mar 25, 2022 | 18.24 Mn |
| Dec 24, 2021 | 21.28 Mn |
| Sep 24, 2021 | 24.32 Mn |
| Jun 25, 2021 | 27.36 Mn |
| Mar 26, 2021 | 30.40 Mn |
| Dec 25, 2020 | 33.44 Mn |
| Sep 25, 2020 | 36.48 Mn |
| Jun 26, 2020 | 39.51 Mn |
| Mar 27, 2020 | 42.55 Mn |
| Dec 27, 2019 | 45.59 Mn |
| Sep 27, 2019 | 48.63 Mn |
| Jun 28, 2019 | 57.69 Mn |
| Mar 29, 2019 | 58.50 Mn |
| Dec 28, 2018 | 60.13 Mn |
| Sep 28, 2018 | 60.13 Mn |
| Jun 29, 2018 | 60.94 Mn |
Fabrinet Non-Current Debt 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=non-current-debt&ticker=FN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "FN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=FN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();