Daktronics (DAKT) Payout Ratio (2012 - 2021)
Daktronics' Payout Ratio was 0.23 in fiscal Q3 2021 (quarter ended Jan 30, 2021).
Analysis
Daktronics (DAKT) Payout Ratio (2012 - 2021) Analysis & Trends
For FY2020 (ended May 2, 2020), Payout Ratio at Daktronics came in at 18.32.
- In earlier fiscal years, Payout Ratio was 2.23 in FY2018 (+69.2%), 1.32 in FY2017 (-84.5%) and 8.52 in FY2016 (+923.6%).
- The fiscal Q3 2021 figure marks the lowest quarterly Payout Ratio in data going back to fiscal Q4 2012.
- The best year-over-year quarter for Payout Ratio over five years was fiscal Q4 2016 (growth of 923.6%); the worst was fiscal Q4 2017 (a decline of 84.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn |
| 10 | Daktronics | 837.29 Mn | 257.04 Mn | 71.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 30, 2021 | 0.23 |
| Aug 1, 2020 | 7.27 |
| May 2, 2020 | 18.32 |
| Nov 2, 2019 | 65.07 |
| Aug 3, 2019 | 7.80 |
| Jan 26, 2019 | 2.07 |
| Oct 27, 2018 | 3.92 |
| Jul 28, 2018 | 7.29 |
| Apr 28, 2018 | 2.23 |
| Jan 27, 2018 | 1.21 |
| Oct 28, 2017 | 1.09 |
| Jul 29, 2017 | 0.93 |
| Apr 29, 2017 | 1.32 |
| Jan 28, 2017 | 2.30 |
| Oct 29, 2016 | 1.68 |
| Jul 30, 2016 | 4.60 |
| Apr 30, 2016 | 8.52 |
| Jan 30, 2016 | 1.98 |
| Oct 31, 2015 | 1.54 |
| Aug 1, 2015 | 1.10 |
API Access
Daktronics Payout Ratio 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=payout-ratio&ticker=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();