Jabil (JBL) Operating Expenses (2009 - 2026)
Jabil's Operating Expenses came in at $356 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 19.9% from $297 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Jabil (JBL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Jabil reported Operating Expenses of $1.45 billion, up 9.6% year-over-year; for FY2025 (ended Aug 31, 2025), it was $1.33 billion, down 11.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $1.5 billion in FY2024 (+15.3%), $1.3 billion in FY2023 (+7.6%), $1.21 billion in FY2022 (-4.1%) and $1.26 billion in FY2021 (-8.6%).
- The five-year range for quarterly Operating Expenses is $288 million (fiscal Q2 2022) to $451 million (fiscal Q1 2024).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2024 (growth of 32.4%), and the weakest in fiscal Q2 2025 (a decline of 20.6%).
- Business Quant data shows JBL's Operating Expenses at $341 million (Q2 2026), $427 million (Q1 2026) and $328 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Jabil | 33.44 Bn | 26.74 Bn | 828.00 Mn | 356.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 356.00 Mn |
| Feb 28, 2026 | 341.00 Mn |
| Nov 30, 2025 | 427.00 Mn |
| Aug 31, 2025 | 328.00 Mn |
| May 31, 2025 | 297.00 Mn |
| Feb 28, 2025 | 308.00 Mn |
| Nov 30, 2024 | 396.00 Mn |
| Aug 31, 2024 | 324.00 Mn |
| May 31, 2024 | 332.00 Mn |
| Feb 29, 2024 | 388.00 Mn |
| Nov 30, 2023 | 451.00 Mn |
| Aug 31, 2023 | 316.00 Mn |
| May 31, 2023 | 315.00 Mn |
| Feb 28, 2023 | 293.00 Mn |
| Nov 30, 2022 | 373.00 Mn |
| Aug 31, 2022 | 310.00 Mn |
| May 31, 2022 | 290.00 Mn |
| Feb 28, 2022 | 288.00 Mn |
| Nov 30, 2021 | 317.00 Mn |
| Aug 31, 2021 | 310.00 Mn |
API Access
Jabil Operating 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=operating-expenses&ticker=JBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();