Daktronics (DAKT) Other Operating Expenses (2011 - 2026)
Daktronics (DAKT) recorded Other Operating Expenses of $18.99 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 12.8% from $16.83 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Daktronics (DAKT) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Daktronics' Other Operating Expenses came in at $66.97 million as of Aug 1, 2026, up 9.4% year-over-year; for FY2026 (ended May 2, 2026), it came in at $64.82 million, up 8.0% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $60.01 million in FY2025 (+5.4%), $56.95 million in FY2024 (-7.0%), $61.23 million in FY2023 (+19.9%) and $51.08 million in FY2022 (+5.0%).
- The fiscal Q1 2027 figure is the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2012.
- On a year-over-year basis, Other Operating Expenses has increased for ten consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 37.3% in fiscal Q3 2023, against a decline of 18.5% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.59 million (Q4 2026), $15.34 million (Q3 2026) and $16.06 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 | 18.99 Mn |
| May 2, 2026 | 16.59 Mn |
| Jan 31, 2026 | 15.34 Mn |
| Nov 1, 2025 | 16.06 Mn |
| Aug 2, 2025 | 16.83 Mn |
| Apr 26, 2025 | 15.20 Mn |
| Jan 25, 2025 | 14.47 Mn |
| Oct 26, 2024 | 14.70 Mn |
| Jul 27, 2024 | 15.64 Mn |
| Apr 27, 2024 | 15.11 Mn |
| Jan 27, 2024 | 14.26 Mn |
| Oct 28, 2023 | 14.65 Mn |
| Jul 29, 2023 | 12.93 Mn |
| Apr 29, 2023 | 14.79 Mn |
| Jan 28, 2023 | 17.48 Mn |
| Oct 29, 2022 | 14.53 Mn |
| Jul 30, 2022 | 14.43 Mn |
| Apr 30, 2022 | 14.06 Mn |
| Jan 29, 2022 | 12.74 Mn |
| Oct 30, 2021 | 12.48 Mn |
API Access
Daktronics Other 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=other-operating-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();