如何計算ETF的PE ratio — QQQ? (2)

在上一篇如何計算ETF的PE ratio — QQQ?我們討論到如何計算出ETF QQQ的PE，有些朋友詢問為什麼跟有些平台的數字還要低很多，其主要理由是有些平台給出的是跟去過去12個月的EPS，而我們之前計算的是所謂的Forward PE，是根據預測未來的Forward EPS，因此會有所落差，我們這篇也會討論如何計算trailing 12-months PE。

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以下為建議步驟:

步驟1: 安裝相關套件。

!pip install pandas
!pip install yahooquery

步驟2: 根據此官方連結獲取QQQ的基本資訊，包含持倉、每檔持有股數、市值等。

import pandas as pd
df = pd.read_csv('https://www.invesco.com/us/financial-products/etfs/holdings/main/holdings/0?audienceType=Investor&action=download&ticker=QQQ')

步驟3: 定義撈取過去四季的EPS的函式。

def get_info_yahooquery(tickers):
    try:
        # data = yq.search(query)
        details = Ticker(tickers)
        earnings = details.earnings
        trailing_eps_1 = list(earnings.values())[0].get('earningsChart').get('quarterly')[0].get('actual')
        trailing_eps_2 = list(earnings.values())[0].get('earningsChart').get('quarterly')[1].get('actual')
        trailing_eps_3 = list(earnings.values())[0].get('earningsChart').get('quarterly')[2].get('actual')
        trailing_eps_4 = list(earnings.values())[0].get('earningsChart').get('quarterly')[3].get('actual')

    except:
        print(tickers)
        return

    return trailing_eps_1  + trailing_eps_2  + trailing_eps_3  + trailing_eps_4 

步驟4: 將持倉代碼(Ticker)丟進函式撈取過去四季的EPS。

from yahooquery import Ticker
import pandas as pd

for row in df.to_records(index=False):
  ticker = str(row[2]).strip()
  eps = get_info_yahooquery(ticker)
  print(eps)
  filt = df['Holding Ticker'] ==  str(row[2])
  df.loc[filt, 'eps'] = eps

步驟5: 計算總盈餘和總市值，並利用此數字算出本益比。

df['Earning'] = df['Shares/Par Value'].str.replace(',', '', regex=True).astype(float) * df['eps'].astype(float)

Earning_QQQ = df['Earning'].sum()

MarketValues_QQQ = df['MarketValue'].str.replace(',', '', regex=True).astype(float).sum()

MarketValues_QQQ / Earning_QQQ

Thank you! We will talk about this topic for more ETFs, approaches, matrices, etc. Enjoy it :)

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