Daktronics (DAKT) Cash from Operations (2010 - 2026)
Daktronics' Cash from Operations came in at $31.43 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 20.4% from $26.1 million a year earlier.
Daktronics (DAKT) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Daktronics reported Cash from Operations of $54.55 million, down 47.7% year-over-year; for FY2026 (ended May 2, 2026), it was $49.22 million, down 49.6% from FY2025.
- Cash from Operations carries a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash from Operations was $97.71 million in FY2025 (+54.5%), $63.24 million in FY2024 (+320.9%), $15.02 million in FY2023 and -$27.04 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Cash from Operations since fiscal Q2 2025.
- Year-over-year, Cash from Operations increased in five of the last seven quarters, with growth averaging 33.1%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q4 2025 (growth of 142.0%), and the weakest in fiscal Q2 2026 (a decline of 61.9%).
- Business Quant data shows DAKT's Cash from Operations at -$5.11 million (Q4 2026), $11.72 million (Q3 2026) and $16.51 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.37 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.56 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.13 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.74 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.10 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 986.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 723.00 Mn |
| 10 | Daktronics | 836.33 Mn | 256.08 Mn | 71.60 Mn | 31.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 31.43 Mn |
| May 2, 2026 | -5.11 Mn |
| Jan 31, 2026 | 11.72 Mn |
| Nov 1, 2025 | 16.51 Mn |
| Aug 2, 2025 | 26.10 Mn |
| Apr 26, 2025 | 22.87 Mn |
| Jan 25, 2025 | 12.02 Mn |
| Oct 26, 2024 | 43.34 Mn |
| Jul 27, 2024 | 19.48 Mn |
| Apr 27, 2024 | 9.45 Mn |
| Jan 27, 2024 | 9.48 Mn |
| Oct 28, 2023 | 25.06 Mn |
| Jul 29, 2023 | 19.25 Mn |
| Apr 29, 2023 | 24.51 Mn |
| Jan 28, 2023 | 12.45 Mn |
| Oct 29, 2022 | 877,000.00 |
| Jul 30, 2022 | -22.82 Mn |
| Apr 30, 2022 | -1.57 Mn |
| Jan 29, 2022 | -16.93 Mn |
| Oct 30, 2021 | -7.52 Mn |
Daktronics Cash from Operations 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=cash-from-operations&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();