PubMatic (PUBM) Total Non-Current Liabilities (2020 - 2026)
PubMatic (PUBM) posted Total Non-Current Liabilities of $454.91 million for Q2 2026, up 6.4% from $427.6 million a year earlier and up 12.7% from the prior quarter.
PubMatic (PUBM) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, PubMatic's Total Non-Current Liabilities came in at $412.76 million, down 9.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In prior years, PubMatic's Total Non-Current Liabilities was $458.35 million in FY2024 (+16.0%), $395.2 million in FY2023 (+22.2%), $323.51 million in FY2022 (+11.2%) and $290.87 million in FY2021 (+50.6%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 9.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2022, with growth of 58.8%; the weakest was Q4 2025, with a decline of 9.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $403.64 million (Q1 2026), $412.76 million (Q4 2025) and $426.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | PubMatic | 835.94 Mn | 271.49 Mn | 52.72 Mn | 454.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.91 Mn |
| Mar 31, 2026 | 403.64 Mn |
| Dec 31, 2025 | 412.76 Mn |
| Sep 30, 2025 | 426.67 Mn |
| Jun 30, 2025 | 427.60 Mn |
| Mar 31, 2025 | 388.81 Mn |
| Dec 31, 2024 | 458.35 Mn |
| Sep 30, 2024 | 421.75 Mn |
| Jun 30, 2024 | 386.32 Mn |
| Mar 31, 2024 | 333.39 Mn |
| Dec 31, 2023 | 395.20 Mn |
| Sep 30, 2023 | 320.68 Mn |
| Jun 30, 2023 | 286.96 Mn |
| Mar 31, 2023 | 267.39 Mn |
| Dec 31, 2022 | 323.51 Mn |
| Sep 30, 2022 | 304.64 Mn |
| Jun 30, 2022 | 284.14 Mn |
| Mar 31, 2022 | 227.92 Mn |
| Dec 31, 2021 | 290.87 Mn |
| Sep 30, 2021 | 215.69 Mn |
PubMatic Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PUBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PUBM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=PUBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();