Jabil (JBL) Finished Goods (2010 - 2018)
Jabil's Finished Goods came in at $682.52 million for fiscal Q3 2018 (quarter ended May 31, 2018), up 20.3% from $567.56 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Jabil (JBL) Finished Goods (2010 - 2018) Analysis & Trends
At the end of FY2017 (ended Aug 31, 2017), Jabil's Finished Goods was $591.23 million, up 15.8% from FY2016.
- Finished Goods has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 15.3% (FY2012 to FY2017).
- Going back by fiscal year, Finished Goods was $510.49 million in FY2016 (+1.5%), $502.92 million in FY2015 (+34.2%), $374.75 million in FY2014 (+18.0%) and $317.65 million in FY2013 (+9.5%).
- The fiscal Q3 2018 figure represents the highest quarterly Finished Goods in data going back to fiscal Q4 2010.
- Year-over-year, Finished Goods has increased for five consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q2 2018 (growth of 60.1%), and the weakest in fiscal Q2 2014 (a decline of 25.4%).
- Business Quant data shows JBL's Finished Goods at $679.83 million (Q2 2018), $676.35 million (Q1 2018) and $591.23 million (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 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 |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Jabil | 33.44 Bn | 26.74 Bn | 828.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2018 | 682.52 Mn |
| Feb 28, 2018 | 679.83 Mn |
| Nov 30, 2017 | 676.35 Mn |
| Aug 31, 2017 | 591.23 Mn |
| May 31, 2017 | 567.56 Mn |
| Feb 28, 2017 | 424.56 Mn |
| Nov 30, 2016 | 494.71 Mn |
| Aug 31, 2016 | 510.49 Mn |
| May 31, 2016 | 444.60 Mn |
| Feb 29, 2016 | 442.28 Mn |
| Nov 30, 2015 | 556.00 Mn |
| Aug 31, 2015 | 502.92 Mn |
| May 31, 2015 | 433.99 Mn |
| Feb 28, 2015 | 389.63 Mn |
| Nov 30, 2014 | 405.59 Mn |
| Aug 31, 2014 | 374.75 Mn |
| May 31, 2014 | 343.97 Mn |
| Feb 28, 2014 | 280.05 Mn |
| Nov 30, 2013 | 326.21 Mn |
| Aug 31, 2013 | 317.65 Mn |
API Access
Jabil Finished Goods 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=finished-goods&ticker=JBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=JBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();