Betterware De Mexico, S.A.P.I. De C.V (BWMX) Net Long-Term Debt Issued (Repaid) (2019 - 2026)
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Analysis
Betterware De Mexico, S.A.P.I. De C.V (BWMX) Net Long-Term Debt Issued (Repaid) (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 369.08 Bn | 320.88 Bn | 11.60 Bn | -747.00 Mn |
| 2 | Colgate Palmolive | 73.49 Bn | 68.55 Bn | 3.30 Bn | -4.00 Mn |
| 3 | Estee Lauder Companies | 39.24 Bn | 27.32 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.31 Bn | 32.92 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.29 Bn | 33.61 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.57 Bn | 9.00 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.67 Bn | 5.64 Bn | 398.84 Mn | -7.50 Mn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.51 Bn | 245.00 Mn | - |
| 10 | Betterware De Mexico, S.A.P.I. De C.V | 631.77 Mn | 471.75 Mn | 179.61 Mn | 287.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 287.35 Mn |
| Jun 30, 2026 | 511.19 Mn |
| Mar 31, 2026 | 313.00 Mn |
| Dec 31, 2025 | -473.30 Mn |
| Sep 30, 2025 | 181.44 Mn |
| Jun 30, 2025 | 103.44 Mn |
| Mar 31, 2025 | 124.73 Mn |
| Dec 31, 2024 | -214.91 Mn |
| Sep 30, 2024 | 212.57 Mn |
| Jun 30, 2024 | 131.79 Mn |
| Mar 31, 2024 | 57.73 Mn |
| Dec 31, 2023 | -766.39 Mn |
| Sep 30, 2023 | 576.33 Mn |
| Jun 30, 2023 | 139.96 Mn |
| Mar 31, 2023 | 83.08 Mn |
| Dec 31, 2022 | -63.56 Mn |
| Sep 30, 2022 | 13.44 Mn |
| Jun 30, 2022 | 262.25 Mn |
| Mar 31, 2022 | 16.58 Mn |
| Dec 31, 2021 | -63.63 Mn |
API Access
Betterware De Mexico, S.A.P.I. De C.V Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=BWMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "BWMX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=BWMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();