Daktronics (DAKT) Total Liabilities (2011 - 2026)
Daktronics (DAKT) reported Total Liabilities of $289.75 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 9.0% from $265.84 million a year earlier and up 14.2% from the prior quarter.
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Analysis
Daktronics (DAKT) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Daktronics posted Total Liabilities of $253.67 million, up 9.8% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $230.96 million in FY2025 (-20.1%), $289.09 million in FY2024 (+8.2%), $267.23 million in FY2023 (+7.2%) and $249.31 million in FY2022 (+37.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Liabilities since fiscal Q2 2025.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2023 (growth of 44.5%); the low point was fiscal Q4 2025 (a decline of 20.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $253.67 million (Q4 2026), $252.64 million (Q3 2026) and $250.94 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Daktronics | 819.98 Mn | 239.73 Mn | 71.60 Mn | 289.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 289.75 Mn |
| May 2, 2026 | 253.67 Mn |
| Jan 31, 2026 | 252.64 Mn |
| Nov 1, 2025 | 250.94 Mn |
| Aug 2, 2025 | 265.84 Mn |
| Apr 26, 2025 | 230.96 Mn |
| Jan 25, 2025 | 251.87 Mn |
| Oct 26, 2024 | 290.96 Mn |
| Jul 27, 2024 | 315.68 Mn |
| Apr 27, 2024 | 289.09 Mn |
| Jan 27, 2024 | 262.96 Mn |
| Oct 28, 2023 | 287.73 Mn |
| Jul 29, 2023 | 286.97 Mn |
| Apr 29, 2023 | 267.23 Mn |
| Jan 28, 2023 | 274.31 Mn |
| Oct 29, 2022 | 291.34 Mn |
| Jul 30, 2022 | 286.61 Mn |
| Apr 30, 2022 | 249.31 Mn |
| Jan 29, 2022 | 221.21 Mn |
| Oct 30, 2021 | 217.00 Mn |
API Access
Daktronics 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=DAKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();