Flex (FLEX) Depreciation and Depletion (2009 - 2026)
Flex's Depreciation and Depletion came in at $116 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), up 0.9% from $115 million a year earlier and up 0.9% from the prior quarter.
Flex (FLEX) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Flex reported Depreciation and Depletion of $458 million, up 3.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $457 million, up 4.1% from FY2025.
- Depreciation and Depletion has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $439 million in FY2025 (+1.9%), $431 million in FY2024 (+4.1%), $414 million in FY2023 (+1.2%) and $409 million in FY2022 (-3.1%).
- The fiscal Q1 2027 figure represents the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2010.
- Year-over-year, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 3.5% over the last five quarters.
- Business Quant data shows FLEX's Depreciation and Depletion at $115 million (Q4 2026), $113 million (Q3 2026) and $114 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | - |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | - |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | - |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 37.60 Mn |
| 10 | Flex | 40.63 Bn | 30.09 Bn | 747.00 Mn | 116.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 116.00 Mn |
| Mar 31, 2026 | 115.00 Mn |
| Dec 31, 2025 | 113.00 Mn |
| Sep 26, 2025 | 114.00 Mn |
| Jun 27, 2025 | 115.00 Mn |
| Mar 31, 2025 | 108.00 Mn |
| Dec 31, 2024 | 110.00 Mn |
| Sep 27, 2024 | 111.00 Mn |
| Jun 28, 2024 | 110.00 Mn |
| Mar 31, 2013 | 110.80 Mn |
| Dec 31, 2012 | 103.30 Mn |
| Sep 28, 2012 | 98.30 Mn |
| Jun 29, 2012 | 100.60 Mn |
| Mar 31, 2012 | 103.30 Mn |
| Dec 31, 2011 | 103.10 Mn |
| Sep 30, 2011 | 101.70 Mn |
| Jul 1, 2011 | 100.40 Mn |
| Mar 31, 2011 | 88.20 Mn |
| Dec 31, 2010 | 104.80 Mn |
| Oct 1, 2010 | 97.80 Mn |
Flex Depreciation and Depletion 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=depreciation-and-depletion&ticker=FLEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FLEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=FLEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();