Dividends Calendar Earnings Calendar

XFLT | XAI Octagon FR & Alt

    Quick infos

    • Headquarters:   Chicago, Illinois, United States

    Trade prices

    • Volume:
    • Market Cap: 242.67M
    • Prev closed: 6.06
    • Open: 6.02
    • High: 6.09
    • Low: 6.02
    • 52 week low: 3.67
    • 52 week high: 9.35
    • Dividends:

    Next ER: May 26, 2022  Before Market Opens



    Top Stories (XFLT)

      Earnings History

      Date EPS / Forecast Revenue / Forecast
      August 31, 2022
      June 1, 2022- / 0.2- / 9.72K
      March 2, 20220.06 / 0.277.74K / 8.9K
      December 1, 20210.28 / 0.2657.18K / 7.17KBeat!
      September 1, 20210.26 / 0.275.67K / 5.67K
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      Historical Data

      DatePriceOpenHighLowVolChangeER
      May 25, 2022 7.540 7.510
      7.581
      7.460
      		 146.99K -0.4%
      May 24, 2022 7.570 7.520
      7.594
      7.510
      		 53.47K 0.13%
      May 23, 2022 7.560 7.550
      7.595
      7.540
      		 87.03K 0.53%
      May 20, 2022 7.520 7.600
      7.600
      7.450
      		 113.76K 0%
      May 19, 2022 7.520 7.560
      7.650
      7.500
      		 101.51K -0.92%
      May 18, 2022 7.590 7.850
      7.850
      7.500
      		 132.59K -4.17%
      May 17, 2022 7.920 7.910
      7.920
      7.710
      		 107.89K 0.13%
      May 16, 2022 7.910 7.600
      8.050
      7.600
      		 245.40K 5.05%
      May 13, 2022 7.530 7.380
      7.680
      7.380
      		 256.88K 5.31%
      May 12, 2022 7.150 8.040
      8.080
      7.100
      		 849.39K -11.18%
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      NYSE - New York Stock Exchange

      News

      News for (XFLT)


      XFLT Dividends

      Ex-Dividend Amount Announced Date Record Date Payment Date
      Mar 14, 20220.073Apr 1, 2022
      Feb 14, 20220.073Mar 1, 2022
      Jan 14, 20220.073Feb 1, 2022
      Dec 14, 20210.073Dec 31, 2021
      Nov 15, 20210.073Dec 1, 2021
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      EarningsAhead is not affiliated with and this is not an endorsement of the companies featured above.
      This profile is based on publicly available information and is intended to be informative in nature.

      Most of the datas are collected by our Data Entry and we aim to be as accurate as humanly possible.




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