TE Connectivity (TEL) Change in Inventory (2009 - 2026)
TE Connectivity (TEL) recorded Change in Inventory of -$49 million in fiscal Q4 2026 (quarter ended Sep 25, 2026), compared with -$139 million a year earlier.
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Analysis
TE Connectivity (TEL) Change in Inventory (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 25, 2026), TE Connectivity reported Change in Inventory of $316 million, up 97.5% from FY2025.
- Annual Change in Inventory has a five-year compound annual growth rate of -10.7% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at $160 million in FY2025 (+433.3%), $30 million in FY2024 (-33.3%), $45 million in FY2023 (+9.8%) and $41 million in FY2022 (-92.6%).
- Quarterly Change in Inventory has ranged from -$398 million in fiscal Q4 2022 to $324 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last four quarters, with growth averaging 32.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 155.1% in fiscal Q1 2026, against a decline of 89.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $34 million (Q3 2026), $30 million (Q2 2026) and $301 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 1.57 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | - |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | -295.00 Mn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 232.00 Mn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 212.00 Mn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 60.00 Mn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 67.00 Mn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 766.90 Mn |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 34.00 Mn |
| Mar 27, 2026 | 30.00 Mn |
| Dec 26, 2025 | 301.00 Mn |
| Sep 26, 2025 | -139.00 Mn |
| Jun 27, 2025 | 167.00 Mn |
| Mar 28, 2025 | 14.00 Mn |
| Dec 27, 2024 | 118.00 Mn |
| Sep 27, 2024 | -97.00 Mn |
| Jun 28, 2024 | -114.00 Mn |
| Mar 29, 2024 | -41.00 Mn |
| Dec 29, 2023 | 282.00 Mn |
| Sep 29, 2023 | -278.00 Mn |
| Jun 30, 2023 | 50.00 Mn |
| Mar 31, 2023 | -51.00 Mn |
| Dec 30, 2022 | 324.00 Mn |
| Sep 30, 2022 | -398.00 Mn |
| Jun 24, 2022 | 28.00 Mn |
| Mar 25, 2022 | 147.00 Mn |
| Dec 24, 2021 | 264.00 Mn |
| Sep 24, 2021 | 74.00 Mn |
API Access
TE Connectivity Change in Inventory 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=change-in-inventory&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "TEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();