Prudential (PUK) Payables (2009 - 2026)
Prudential's (PUK) quarterly Payables came in at $1.4 billion in Q2 2026, up 50.65% year-over-year from $924.0 million in Q2 2025, and up 32.7% quarter-over-quarter from $1.0 billion in Q4 2025.
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Analysis
Prudential (PUK) Payables (2009 - 2026) Analysis & Trends
Prudential has disclosed Payables across 17 years of filings, most recently posting $1.4 billion for Q2 2026.
- In Q2 2026, Payables rose 50.65% year-over-year to $1.4 billion; the TTM figure through Jun 2026 stood at $1.4 billion (up 50.65% YoY), while the FY2025 annual figure was $1.0 billion, down 35.13% from the prior year.
- Payables came in at $1.4 billion for Q2 2026 at Prudential, up from $1.0 billion in the prior quarter.
- In the past five years, Payables ranged from a high of $4.0 billion in Q4 2022 to a low of $771.0 million in Q2 2022.
- Average Payables over 4 years is $1.6 billion, with a median of $1.2 billion recorded in 2025.
- Year-over-year, Payables surged 257.23% in 2022 and plunged 35.13% in 2025.
- Over 4 years, Payables stood at $4.0 billion in 2022, then sank by 59.59% to $1.6 billion in 2024, then sank by 35.13% to $1.0 billion in 2025, then soared by 32.7% to $1.4 billion in 2026.
- Per Business Quant data, the three most recent Payables figures were $1.4 billion in Q2 2026, $1.0 billion in Q4 2025, and $924.0 million in Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 4.10 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 10.82 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -22.89 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 1,561.59 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | -14.00 Mn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | -6.43 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 220.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.15 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 22.45 Bn |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Jun 30, 2025 | 924.00 Mn |
| Dec 31, 2024 | 1.62 Bn |
| Dec 31, 2022 | 4.00 Bn |
| Jun 30, 2022 | 771.00 Mn |
| Dec 31, 2021 | 1.12 Bn |
| Jun 30, 2021 | 412.00 Mn |
| Dec 31, 2020 | 1.28 Bn |
| Jun 30, 2020 | 467.00 Mn |
| Dec 31, 2019 | 2.83 Bn |
| Jun 30, 2019 | 3.44 Bn |
| Dec 31, 2018 | 5.88 Bn |
| Jun 30, 2018 | 4.29 Bn |
| Dec 31, 2017 | 5.25 Bn |
| Jun 30, 2017 | 2.12 Bn |
| Dec 31, 2016 | 5.45 Bn |
| Jun 30, 2016 | 7.67 Bn |
| Dec 31, 2015 | 4.73 Bn |
| Jun 30, 2015 | 2.69 Bn |
API Access
Prudential Payables 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=payables&ticker=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "PUK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();