Daktronics (DAKT) Long-Term Debt Repayments (2011 - 2026)
Daktronics (DAKT) recorded Long-Term Debt Repayments of $288,000 in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 42.4% from $500,000 a year earlier but up 0.3% from the prior quarter.
Daktronics (DAKT) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a TTM basis, Daktronics' Long-Term Debt Repayments came in at $2.67 million as of Aug 1, 2026, up 64.4% year-over-year; for FY2026 (ended May 2, 2026), it was $2.88 million, up 36.8% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -28.1% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $2.11 million in FY2025 (-89.2%), $19.43 million in FY2024 (-94.6%), $360.94 million in FY2023 (+671.2%) and $46.8 million in FY2022 (+212.0%).
- Quarterly Long-Term Debt Repayments has ranged from $287,000 in fiscal Q4 2026 to $101.47 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last eight quarters, with growth averaging 23.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 358.9% in fiscal Q3 2026, against a decline of 99.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $287,000 (Q4 2026), $1.72 million (Q3 2026) and $375,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Daktronics | 918.41 Mn | 338.15 Mn | 71.60 Mn | 288,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 288,000.00 |
| May 2, 2026 | 287,000.00 |
| Jan 31, 2026 | 1.72 Mn |
| Nov 1, 2025 | 375,000.00 |
| Aug 2, 2025 | 604,000.00 |
| Apr 26, 2025 | 479,000.00 |
| Jan 25, 2025 | 479,000.00 |
| Oct 26, 2024 | 478,000.00 |
| Jul 27, 2024 | 1.09 Mn |
| Apr 27, 2024 | 1.04 Mn |
| Jan 27, 2024 | 478,000.00 |
| Oct 28, 2023 | 477,000.00 |
| Jul 29, 2023 | 17.85 Mn |
| Apr 29, 2023 | 101.77 Mn |
| Jan 28, 2023 | 95.29 Mn |
| Oct 29, 2022 | 96.22 Mn |
| Jul 30, 2022 | 67.97 Mn |
| Apr 30, 2022 | 46.80 Mn |
| Jul 31, 2021 | 200,000.00 |
| May 1, 2021 | 15.03 Mn |
Daktronics 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=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "DAKT", "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=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();