Daktronics (DAKT) Cash & Equivalents (2010 - 2026)
Daktronics (DAKT) recorded Cash & Equivalents of $154.59 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 13.0% from $136.86 million a year earlier and up 17.4% from the prior quarter.
Daktronics (DAKT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Daktronics reported Cash & Equivalents of $131.64 million, up 3.2% from FY2025.
- Annual Cash & Equivalents has increased for four straight fiscal years, with a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $127.51 million in FY2025 (+56.8%), $81.3 million in FY2024 (+239.0%), $23.98 million in FY2023 (+39.9%) and $17.14 million in FY2022 (-77.9%).
- The fiscal Q1 2027 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cash & Equivalents has increased for 14 consecutive quarters, with growth averaging 39.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 906.7% in fiscal Q2 2024, against a decline of 89.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $131.64 million (Q4 2026), $144.42 million (Q3 2026) and $149.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Daktronics | 863.74 Mn | 283.49 Mn | 71.60 Mn | 154.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 154.59 Mn |
| May 2, 2026 | 131.64 Mn |
| Jan 31, 2026 | 144.42 Mn |
| Nov 1, 2025 | 149.60 Mn |
| Aug 2, 2025 | 136.86 Mn |
| Apr 26, 2025 | 127.51 Mn |
| Jan 25, 2025 | 132.17 Mn |
| Oct 26, 2024 | 134.35 Mn |
| Jul 27, 2024 | 96.81 Mn |
| Apr 27, 2024 | 81.30 Mn |
| Jan 27, 2024 | 76.76 Mn |
| Oct 28, 2023 | 64.74 Mn |
| Jul 29, 2023 | 45.78 Mn |
| Apr 29, 2023 | 23.98 Mn |
| Jan 28, 2023 | 10.02 Mn |
| Oct 29, 2022 | 6.43 Mn |
| Jul 30, 2022 | 8.28 Mn |
| Apr 30, 2022 | 17.14 Mn |
| Jan 29, 2022 | 30.88 Mn |
| Oct 30, 2021 | 59.73 Mn |
Daktronics Cash & Equivalents 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-and-equivalents&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();