Daktronics (DAKT) EBITDA (2011 - 2026)
Daktronics (DAKT) posted EBITDA of $29.62 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 5.5% from $28.08 million a year earlier and up 58.5% from the prior quarter.
Daktronics (DAKT) EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Daktronics was $81.73 million, up 53.8% year-over-year; for FY2026 (ended May 2, 2026), it was $80.19 million, up 52.3% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 18.6% (FY2021 to FY2026).
- In prior fiscal years, Daktronics' EBITDA was $52.67 million in FY2025 (-50.5%), $106.41 million in FY2024 (+177.2%), $38.38 million in FY2023 (+97.4%) and $19.44 million in FY2022 (-43.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly EBITDA since fiscal Q1 2024.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 99.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2023, with growth of 543.2%; the weakest was fiscal Q3 2025, with a decline of 90.0%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $18.69 million (Q4 2026), $7.07 million (Q3 2026) and $26.35 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Daktronics | 819.98 Mn | 239.73 Mn | 71.60 Mn | 29.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 29.62 Mn |
| May 2, 2026 | 18.69 Mn |
| Jan 31, 2026 | 7.07 Mn |
| Nov 1, 2025 | 26.35 Mn |
| Aug 2, 2025 | 28.08 Mn |
| Apr 26, 2025 | 3.10 Mn |
| Jan 25, 2025 | 1.29 Mn |
| Oct 26, 2024 | 20.67 Mn |
| Jul 27, 2024 | 27.61 Mn |
| Apr 27, 2024 | 24.35 Mn |
| Jan 27, 2024 | 12.91 Mn |
| Oct 28, 2023 | 24.26 Mn |
| Jul 29, 2023 | 44.89 Mn |
| Apr 29, 2023 | 22.71 Mn |
| Jan 28, 2023 | 11.44 Mn |
| Oct 29, 2022 | 5.73 Mn |
| Jul 30, 2022 | -1.49 Mn |
| Apr 30, 2022 | 3.53 Mn |
| Jan 29, 2022 | -1.93 Mn |
| Oct 30, 2021 | 8.12 Mn |
Daktronics EBITDA 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=ebitda&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();