Daktronics (DAKT) Total Non-Current Liabilities (2011 - 2026)
Daktronics' Total Non-Current Liabilities was $58.97 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 1.2% from $58.29 million a year earlier but down 1.6% from the prior quarter.
Daktronics (DAKT) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Total Non-Current Liabilities at Daktronics came in at $59.96 million, up 1.7% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $58.96 million in FY2025 (-39.1%), $96.8 million in FY2024 (+69.6%), $57.06 million in FY2023 (+60.2%) and $35.62 million in FY2022 (+1.8%).
- Quarterly Total Non-Current Liabilities has moved between $34.83 million (fiscal Q3 2022) and $118.73 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 19.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2023 (growth of 77.8%); the worst was fiscal Q1 2026 (a decline of 50.9%).
- Per Business Quant data, DAKT's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $59.96 million (Q4 2026), $61.08 million (Q3 2026) and $58.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Daktronics | 837.29 Mn | 257.04 Mn | 71.60 Mn | 58.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 58.97 Mn |
| May 2, 2026 | 59.96 Mn |
| Jan 31, 2026 | 61.08 Mn |
| Nov 1, 2025 | 58.30 Mn |
| Aug 2, 2025 | 58.29 Mn |
| Apr 26, 2025 | 58.96 Mn |
| Jan 25, 2025 | 89.43 Mn |
| Oct 26, 2024 | 110.86 Mn |
| Jul 27, 2024 | 118.73 Mn |
| Apr 27, 2024 | 96.80 Mn |
| Jan 27, 2024 | 92.70 Mn |
| Oct 28, 2023 | 97.79 Mn |
| Jul 29, 2023 | 82.55 Mn |
| Apr 29, 2023 | 57.06 Mn |
| Jan 28, 2023 | 61.93 Mn |
| Oct 29, 2022 | 64.29 Mn |
| Jul 30, 2022 | 61.98 Mn |
| Apr 30, 2022 | 35.62 Mn |
| Jan 29, 2022 | 34.83 Mn |
| Oct 30, 2021 | 37.06 Mn |
Daktronics Total Non-Current 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-non-current-liabilities&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();