Intest (INTT) Long-Term Debt Repayments (2022 - 2026)
Intest (INTT) recorded Long-Term Debt Repayments of $1.03 million in Q2 2026, unchanged from $1.03 million a year earlier and unchanged from the prior quarter.
Intest (INTT) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
On a TTM basis, Intest's Long-Term Debt Repayments came in at $4.1 million as of Jun 30, 2026, down 38.0% year-over-year; for FY2025, it came in at $4.1 million, down 46.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $7.69 million in FY2024 (+87.5%), $4.1 million in FY2023 (+3.6%) and $3.96 million in FY2022.
- Quarterly Long-Term Debt Repayments has ranged from $883,000 in Q1 2022 to $2.35 million in Q3 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last eight quarters, with growth averaging 9.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 128.9% in Q3 2024, against a decline of 56.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.03 million (Q1 2026), $1.03 million (Q4 2025) and $1.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,992.60 Bn | 4,740.09 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 420.12 Bn | 356.05 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 299.31 Bn | 255.06 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 227.51 Bn | 180.97 Bn | 1.91 Bn | - |
| 5 | Sandisk | 203.36 Bn | 191.88 Bn | 7.58 Bn | - |
| 6 | Sony | 149.73 Bn | 86.99 Bn | 6.53 Bn | -67.19 Mn |
| 7 | Seagate Technology Holdings | 147.98 Bn | 142.98 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 124.84 Bn | 112.96 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 75.36 Bn | 53.24 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Intest | 164.05 Mn | 98.63 Mn | 14.30 Mn | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 1.03 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 2.35 Mn |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 1.03 Mn |
| Jun 30, 2023 | 1.03 Mn |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 883,000.00 |
Intest Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=INTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "INTT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=INTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();