Daktronics (DAKT) Operating Expenses (2011 - 2026)
Daktronics (DAKT) posted Operating Expenses of $46.66 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 11.6% from $41.8 million a year earlier and up 5.1% from the prior quarter.
Daktronics (DAKT) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Operating Expenses at Daktronics was $173.02 million, up 3.5% year-over-year; for FY2026 (ended May 2, 2026), it came in at $168.16 million, up 3.6% from FY2025.
- Annual Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- In prior fiscal years, Daktronics' Operating Expenses was $162.37 million in FY2025 (+20.0%), $135.33 million in FY2024 (+4.1%), $129.97 million in FY2023 (+15.4%) and $112.65 million in FY2022 (+8.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2012.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 10.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 24.8%; the weakest was fiscal Q3 2024, with a decline of 2.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $44.39 million (Q4 2026), $41.71 million (Q3 2026) and $40.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Daktronics | 918.41 Mn | 338.15 Mn | 71.60 Mn | 46.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 46.66 Mn |
| May 2, 2026 | 44.39 Mn |
| Jan 31, 2026 | 41.71 Mn |
| Nov 1, 2025 | 40.26 Mn |
| Aug 2, 2025 | 41.80 Mn |
| Apr 26, 2025 | 44.89 Mn |
| Jan 25, 2025 | 40.41 Mn |
| Oct 26, 2024 | 40.09 Mn |
| Jul 27, 2024 | 36.98 Mn |
| Apr 27, 2024 | 35.95 Mn |
| Jan 27, 2024 | 33.68 Mn |
| Oct 28, 2023 | 34.76 Mn |
| Jul 29, 2023 | 30.93 Mn |
| Apr 29, 2023 | 33.88 Mn |
| Jan 28, 2023 | 34.60 Mn |
| Oct 29, 2022 | 30.18 Mn |
| Jul 30, 2022 | 31.31 Mn |
| Apr 30, 2022 | 30.26 Mn |
| Jan 29, 2022 | 27.99 Mn |
| Oct 30, 2021 | 27.88 Mn |
Daktronics Operating Expenses 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=operating-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();