Flex (FLEX) Interest Expenses (2009 - 2026)
Flex (FLEX) reported Interest Expenses of $60 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), up 17.6% from $51 million a year earlier and up 11.1% from the prior quarter.
Flex (FLEX) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, Flex's Interest Expenses came in at $224 million, up 5.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $215 million, down 1.4% from FY2025.
- Interest Expenses has a four-year compound annual growth rate of 6.7% (FY2022 to FY2026).
- By fiscal year, Interest Expenses came in at $218 million in FY2025 (+5.3%), $207 million in FY2024 (-10.0%), $230 million in FY2023 (+38.6%) and $166 million in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly Interest Expenses in data going back to fiscal Q1 2010.
- Year over year, Interest Expenses has now increased in each of the last three quarters, with growth averaging 4.3% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q1 2027 (growth of 17.6%); the low point was fiscal Q1 2026 (a decline of 8.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $54 million (Q4 2026), $58 million (Q3 2026) and $52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 373.00 Mn |
| 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 | 2.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 64.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 14.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 147.26 Mn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | - |
| 10 | Flex | 41.76 Bn | 31.22 Bn | 747.00 Mn | 60.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 60.00 Mn |
| Mar 31, 2026 | 54.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 26, 2025 | 52.00 Mn |
| Jun 27, 2025 | 51.00 Mn |
| Mar 31, 2025 | 52.00 Mn |
| Dec 31, 2024 | 57.00 Mn |
| Sep 27, 2024 | 53.00 Mn |
| Jun 28, 2024 | 56.00 Mn |
| Mar 31, 2024 | 52.00 Mn |
| Dec 31, 2023 | 50.00 Mn |
| Sep 29, 2023 | 49.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2012 | 4.59 Mn |
| Dec 31, 2011 | 7.78 Mn |
| Sep 30, 2011 | 1.47 Mn |
| Jul 1, 2011 | 22.18 Mn |
| Mar 31, 2011 | 7.20 Mn |
| Dec 31, 2010 | 10.85 Mn |
| Oct 1, 2010 | 22.84 Mn |
Flex 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=FLEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FLEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();