Formfactor (FORM) Long-Term Debt Repayments (2012 - 2026)
Formfactor's Long-Term Debt Repayments came in at $286,000 for Q3 2026, up 3.2% from $277,000 a year earlier and up 1.1% from the prior quarter.
Formfactor (FORM) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Formfactor reported Long-Term Debt Repayments of $1.13 million, up 2.9% year-over-year; for FY2025, it was $1.11 million, up 2.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -52.0% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $1.08 million in FY2024 (+2.9%), $1.05 million in FY2023 (-87.6%), $8.4 million in FY2022 (-10.1%) and $9.34 million in FY2021 (-78.5%).
- The Q3 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q4 2022.
- Year-over-year, Long-Term Debt Repayments has increased for 11 consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2026 (growth of 3.2%), and the weakest in Q1 2023 (a decline of 88.4%).
- Business Quant data shows FORM's Long-Term Debt Repayments at $283,000 (Q2 2026), $281,000 (Q1 2026) and $280,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 4.25 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 1.02 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | -251.98 Mn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 1.26 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 1.17 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Formfactor | 6.35 Bn | 5.03 Bn | 153.40 Mn | 286,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 286,000.00 |
| Jun 27, 2026 | 283,000.00 |
| Mar 28, 2026 | 281,000.00 |
| Dec 27, 2025 | 280,000.00 |
| Sep 27, 2025 | 277,000.00 |
| Jun 28, 2025 | 276,000.00 |
| Mar 29, 2025 | 273,000.00 |
| Dec 28, 2024 | 272,000.00 |
| Sep 28, 2024 | 269,000.00 |
| Jun 29, 2024 | 268,000.00 |
| Mar 30, 2024 | 266,000.00 |
| Dec 30, 2023 | 264,000.00 |
| Sep 30, 2023 | 262,000.00 |
| Jul 1, 2023 | 260,000.00 |
| Apr 1, 2023 | 259,000.00 |
| Dec 31, 2022 | 1.98 Mn |
| Sep 24, 2022 | 2.04 Mn |
| Jun 25, 2022 | 2.15 Mn |
| Mar 26, 2022 | 2.23 Mn |
| Dec 25, 2021 | 2.29 Mn |
Formfactor 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=FORM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "FORM", "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=FORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();