Standex International (SXI) Total Liabilities (2011 - 2026)
Standex International (SXI) recorded Total Liabilities of $830.49 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.9% from $855.2 million a year earlier but up 7.5% from the prior quarter.
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Analysis
Standex International (SXI) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Standex International's Total Liabilities history includes 61 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $855.2 million in FY2025 (+123.0%), $383.55 million in FY2024 (-8.1%), $417.48 million in FY2023 (-4.0%) and $435.1 million in FY2022 (-4.5%).
- Quarterly Total Liabilities has ranged from $374.52 million in fiscal Q3 2024 to $867.63 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 60.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 131.7% in fiscal Q3 2025, against a decline of 11.0% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $772.6 million (Q3 2026), $854.27 million (Q2 2026) and $847.21 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Standex International | 3.29 Bn | 2.82 Bn | 97.44 Mn | 830.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 830.49 Mn |
| Mar 31, 2026 | 772.60 Mn |
| Dec 31, 2025 | 854.27 Mn |
| Sep 30, 2025 | 847.21 Mn |
| Jun 30, 2025 | 855.20 Mn |
| Mar 31, 2025 | 867.63 Mn |
| Dec 31, 2024 | 826.90 Mn |
| Sep 30, 2024 | 379.86 Mn |
| Jun 30, 2024 | 383.55 Mn |
| Mar 31, 2024 | 374.52 Mn |
| Dec 31, 2023 | 384.49 Mn |
| Sep 30, 2023 | 386.79 Mn |
| Jun 30, 2023 | 417.48 Mn |
| Mar 31, 2023 | 409.54 Mn |
| Dec 31, 2022 | 427.27 Mn |
| Sep 30, 2022 | 429.57 Mn |
| Jun 30, 2022 | 435.10 Mn |
| Mar 31, 2022 | 445.95 Mn |
| Dec 31, 2021 | 447.12 Mn |
| Sep 30, 2021 | 447.91 Mn |
API Access
Standex International Total Liabilities 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=total-liabilities&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SXI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();