Jabil (JBL) Interest Expenses (2009 - 2023)
Jabil (JBL) posted Interest Expenses of $83 million for fiscal Q3 2023 (quarter ended May 31, 2023), up 112.8% from $39 million a year earlier and up 15.3% from the prior quarter.
Jabil (JBL) Interest Expenses (2009 - 2023) Analysis & Trends
For the trailing twelve months through May 31, 2023, Interest Expenses at Jabil was $262 million, up 89.9% year-over-year; for FY2022 (ended Aug 31, 2022), it came in at $151 million, up 16.2% from FY2021.
- Annual Interest Expenses shows a five-year compound annual growth rate of 1.8% (FY2017 to FY2022).
- In prior fiscal years, Jabil's Interest Expenses was $130 million in FY2021 (-25.3%), $174 million in FY2020 (-7.4%), $188 million in FY2019 (+26.2%) and $149 million in FY2018 (+7.9%).
- The fiscal Q3 2023 figure stands as the highest quarterly Interest Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Interest Expenses has increased in each of the last seven quarters, with growth averaging 45.0% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q2 2023, with growth of 118.2%; the weakest was fiscal Q2 2021, with a decline of 32.9%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $72 million (Q2 2023), $61 million (Q1 2023) and $46 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 373.00 Mn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 2.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 147.26 Mn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 64.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 14.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | - |
| 10 | Jabil | 29.75 Bn | 23.06 Bn | 828.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2023 | 83.00 Mn |
| Feb 28, 2023 | 72.00 Mn |
| Nov 30, 2022 | 61.00 Mn |
| Aug 31, 2022 | 46.00 Mn |
| May 31, 2022 | 39.00 Mn |
| Feb 28, 2022 | 33.00 Mn |
| Nov 30, 2021 | 33.00 Mn |
| Aug 31, 2021 | 33.00 Mn |
| May 31, 2021 | 34.00 Mn |
| Feb 28, 2021 | 31.00 Mn |
| Nov 30, 2020 | 32.00 Mn |
| Aug 31, 2020 | 41.03 Mn |
| May 31, 2020 | 41.87 Mn |
| Feb 29, 2020 | 46.18 Mn |
| Nov 30, 2019 | 44.91 Mn |
| Aug 31, 2019 | 48.67 Mn |
| May 31, 2019 | 50.51 Mn |
| Feb 28, 2019 | 46.16 Mn |
| Nov 30, 2018 | 42.65 Mn |
| Aug 31, 2018 | 38.78 Mn |
Jabil Interest Expenses 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=interest-expenses&ticker=JBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "JBL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=JBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();