Daktronics (DAKT) Accumulated Expenses (2011 - 2026)
Daktronics (DAKT) recorded Accumulated Expenses of $49.87 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 11.4% from $44.76 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Daktronics (DAKT) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Daktronics reported Accumulated Expenses of $44.86 million, up 7.6% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 7.9% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $41.71 million in FY2025 (-3.1%), $43.03 million in FY2024 (+19.5%), $36.01 million in FY2023 (+3.0%) and $34.96 million in FY2022 (+14.0%).
- The fiscal Q1 2027 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- On a year-over-year basis, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 23.3% in fiscal Q1 2025, against a decline of 5.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $44.86 million (Q4 2026), $45.79 million (Q3 2026) and $44.67 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Daktronics | 836.33 Mn | 256.08 Mn | 71.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 49.87 Mn |
| May 2, 2026 | 44.86 Mn |
| Jan 31, 2026 | 45.79 Mn |
| Nov 1, 2025 | 44.67 Mn |
| Aug 2, 2025 | 44.76 Mn |
| Apr 26, 2025 | 41.71 Mn |
| Jan 25, 2025 | 37.15 Mn |
| Oct 26, 2024 | 42.81 Mn |
| Jul 27, 2024 | 39.45 Mn |
| Apr 27, 2024 | 43.03 Mn |
| Jan 27, 2024 | 36.82 Mn |
| Oct 28, 2023 | 39.77 Mn |
| Jul 29, 2023 | 31.99 Mn |
| Apr 29, 2023 | 36.01 Mn |
| Jan 28, 2023 | 32.71 Mn |
| Oct 29, 2022 | 38.17 Mn |
| Jul 30, 2022 | 33.98 Mn |
| Apr 30, 2022 | 34.96 Mn |
| Jan 29, 2022 | 32.03 Mn |
| Oct 30, 2021 | 32.68 Mn |
API Access
Daktronics Accumulated 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=accumulated-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();